Data Engineer jobs at Gentis - 77 jobs

Job Posting Title: Lead Data Engineer * --- Hiring Department: Enterprise Technology - Data to Insights (D2I) * --- All Applicants * --- Weekly Scheduled Hours: 40 * --- FLSA Status: Exempt * --- * --- Expected to Continue Until Dec 19, 2026 * --- Location: Texas * --- Job Details: General Notes This is a fixed term position that is expected to continue for a 1-year limited term from start date with a possibility for extension. Flexible work arrangements are available for this position, including the ability to work 100% remotely. Remote work for individuals who reside outside Texas but within the United States and its territories will be considered and requires Central Office approval. This position provides life/work balance with typically a 40-hour work week and travel limited to training (e.g., conferences/courses). Enterprise Technology is dedicated to supporting the mission of the University of Texas at Austin of unlocking potential and preparing future leaders of the state. Your skills will make a difference. You'll be working for a university that is internationally recognized for research and the work you do will make a difference in the lives of our students, faculty and staff. If you're the type of person that wants to know your work has meaning and impact, you'll like working for our campus. The University of Texas at Austin and Enterprise Technology provide an outstanding benefits package to our staff. Those benefits include: * Competitive health benefits (Employee premiums covered at 100%; family premiums at 50%) * Vision, dental, life, and disability insurance options * Paid vacation, sick leave, and holidays * Teachers Retirement System of Texas (a defined benefit retirement plan) * Additional voluntary retirement programs: tax sheltered annuity 403(b) and a deferred compensation program 457(b) * Flexible spending account options for medical and childcare expenses * Training and conference opportunities * Tuition assistance * Athletic ticket discounts * Access to UT Austin's libraries and museums * Free rides on all UT Shuttle and Capital Metro buses with staff ID card For more details, please see: ****************************************** and ******************************************************* Must be authorized to work in the United States on a full-time basis for any employer without sponsorship. This position requires you to maintain internet service and a mobile phone with voice and data plans to be used when required for work. Purpose The Lead Data Engineer for the UT Data Hub improves university outcomes and advances the UT mission to transform lives for the benefit of society by increasing the useability and value of institutional data. You will lead senior data engineers and data engineers to create complex data pipelines within UT's cloud data ecosystem in support of academic and administrative needs. In collaboration with our team of data professionals, you will help build and run a modern data hub to enable advanced data-driven decision making for UT. You will leverage your creativity to solve complex technical problems and build effective relationships through open communication within the team and outside partners. Responsibilities Technical Leadership: * Design, architect, and deliver production-grade, scalable data pipelines and AI-ready data platforms using Databricks, AWS cloud-native services and modern data engineering frameworks. * Lead end-to-end implementation of lakehouse data pipelines, ensuring performance, reliability, and cost efficiency. * Champion industry best practices for data engineering. * Conduct and participate in peer code reviews to maintain code quality and consistency across the team. * Proactively identify and resolve bottlenecks in data ingestion, transformation, and orchestration processes using Databricks Delta Live Tables, Spark optimization techniques, and workflow automation. * Implement systems for data quality, observability, governance, and compliance using tools such as Unity Catalog, Delta Lake, and data validation frameworks. * Lead technical knowledge-sharing sessions on topics such as AI/ML integration, data lakehouse architecture, and emerging data technologies. Project Management: * Define project milestones, timelines, and deliverables for data and AI initiatives, ensuring timely and high-quality outcomes. * Collaborate with both internal and external stakeholders such as data architects, system architects, business users, Agile team members, and other D2I internal groups. * Manage project priorities, sprint planning, and team workloads while balancing innovation with delivery. * Communicate risks, dependencies, and resource constraints effectively, and develop mitigation plans for on-time project delivery. Team Management and Leadership: * Supervise and mentor a team of Data Engineers (2-5 individuals) working on cloud, Databricks, and AI pipeline initiatives. * Foster a culture of continuous learning, experimentation, and technical excellence, encouraging engineers to explore AI and automation use cases. * Participate in recruiting, onboarding, and developing data engineering talent with strong Databricks and AI skillsets. * Conduct performance reviews, set development goals, and create individualized growth plans for team members. * Encourage collaboration across Data, AI/ML, Analytics, and Infrastructure teams to drive cross-functional success. Communication: * Provide regular updates on project progress, technical challenges, and project milestones to both technical and business stakeholders. * Translate complex technical concepts related to Databricks, AI, and data architecture into clear narratives for non-technical audiences. * Foster a transparent communication culture and provide actionable feedback to promote a growth mindset. * Ensure all data engineering processes, architectures, and standards are well-documented for reuse, governance, and knowledge continuity. Innovation and Other Duties: * Stay current with advancements in AI, data engineering, and Databricks ecosystem, evaluating new tools and frameworks for potential adoption. * Pilot and promote innovative solutions such as AI-assisted data quality checks, data observability automation, and intelligent pipeline optimization. * Perform other duties as assigned, contributing to the organization's data-driven and AI-enabled transformation. Required Qualifications * Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience. * 5+ years of experience designing, implementing, and optimizing complex, production-grade data pipelines or enterprise-scale data platforms. * 5 years of experience in cloud-based data engineering using Databricks and Amazon Web Services (AWS) (e.g., Glue, S3, Lambda, Redshift). * 3+ years of experience managing or leading teams of data and/or software engineers, including mentorship, performance management, and project delivery. * Expertise in Python, PySpark, and SQL, with strong understanding of data modeling, stored procedures, and scalable data transformations. * Proven experience architecting and implementing ETL/ELT solutions across relational, non-relational, and lakehouse environments (e.g., Delta Lake, Parquet, or Iceberg). * Experience designing and managing CI/CD pipelines and infrastructure as code (IaC) using tools such as Databricks Repos, CDK, Terraform, or GitHub Actions. * Demonstrated knowledge of test-driven development (TDD) and data quality frameworks, ensuring reliability and reproducibility across data workflows. * Deep understanding of data governance, security, and compliance standards in cloud environments. * Excellent analytical, problem-solving, and debugging skills across distributed data systems. * Proven ability to communicate complex technical concepts clearly to both technical and non-technical audiences. * Experience supervising, mentoring, and guiding junior team members on technical and professional development. Equivalent combination of relevant education and experience may be substituted as appropriate. Preferred Qualifications * 8+ years of experience in Data Engineering or related fields, including 5+ years of hands-on experience building and optimizing data pipelines on Databricks or similar large-scale data platforms. * Proven experience implementing lakehouse architectures leveraging Databricks Delta Lake, Delta Live Tables, and Unity Catalog for governance and scalability. * Experience designing AI-ready data platforms and integrating machine learning pipelines using tools such as MLflow or model registry frameworks. * 3+ years of experience managing or leading cross-functional technical teams, fostering collaboration between Data Engineering, Analytics, and AI/ML teams. * 5+ years of experience with Agile software development methodologies and project tracking systems such as JIRA. * Expertise in distributed data processing and streaming frameworks, such as Apache Spark, Kafka, Flink, or Airflow, for orchestration and automation. * Strong familiarity with data observability, cost optimization, and performance tuning in Databricks and cloud-native architecture. * Professional certifications such as Databricks Certified Data Engineer Professional or AWS Solutions Architect or AWS Data Analytics Specialty are highly desirable. * Demonstrated ability to introduce new technologies and best practices to modernize existing data environments and promote AI/analytics maturity across the organization. * Passion for continuous learning and staying current with emerging technologies in data engineering, AI integration, and Databricks ecosystem advancements. Salary Range $125,000 - $143,712 Working Conditions * May work around standard office conditions * Repetitive use of a keyboard at a workstation * Use of manual dexterity (ex: using a mouse) Work Shift * Monday - Friday 8am-5pm; Occasional nights or weekends may be required Required Materials * Resume/CV * 3 work references with their contact information; at least one reference should be from a supervisor * Letter of interest Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. * --- Employment Eligibility: Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. * --- Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. * --- Background Checks: A criminal history background check will be required for finalist(s) under consideration for this position. * --- Equal Opportunity Employer: The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. * --- Pay Transparency: The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. * --- Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. * --- E-Verify: The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: * E-Verify Poster (English and Spanish) [PDF] * Right to Work Poster (English) [PDF] * Right to Work Poster (Spanish) [PDF] * --- Compliance: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

Job Posting Title: Senior Data Engineer ---- Hiring Department: Enterprise Technology - Data to Insights (D2I) ---- All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt ---- Earliest Start Date: Immediately ---- Position Duration: Expected to Continue Until Dec 19, 2026 ---- Location: Texas ---- Job Details: General Notes This is a fixed term position that is expected to continue for a 1-year limited term from start date with a possibility for extension. Flexible work arrangements are available for this position, including the ability to work 100% remotely. Remote work for individuals who reside outside Texas but within the United States and its territories will be considered and requires Central Office approval. This position provides life/work balance with typically a 40-hour work week and travel limited to training (e.g., conferences/courses). Enterprise Technology is dedicated to supporting the mission of the University of Texas at Austin of unlocking potential and preparing future leaders of the state. Your skills will make a difference. You'll be working for a university that is internationally recognized for research and the work you do will make a difference in the lives of our students, faculty and staff. If you're the type of person that wants to know your work has meaning and impact, you'll like working for our campus. The University of Texas at Austin and Enterprise Technology provide an outstanding benefits package to our staff. Those benefits include: Competitive health benefits (Employee premiums covered at 100%; family premiums at 50%) Vision, dental, life, and disability insurance options Paid vacation, sick leave, and holidays Teachers Retirement System of Texas (a defined benefit retirement plan) Additional voluntary retirement programs: tax sheltered annuity 403(b) and a deferred compensation program 457(b) Flexible spending account options for medical and childcare expenses Training and conference opportunities Tuition assistance Athletic ticket discounts Access to UT Austin's libraries and museums Free rides on all UT Shuttle and Capital Metro buses with staff ID card For more details, please see: ****************************************** and ******************************************************* Must be authorized to work in the United States on a full-time basis for any employer without sponsorship. This position requires you to maintain internet service and a mobile phone with voice and data plans to be used when required for work. Purpose The Senior Data Engineer for the UT Data Hub improves university outcomes and advances the UT mission to transform lives for the benefit of society by increasing the useability and value of institutional data. You will create complex data pipelines into UT's cloud data ecosystem in support of academic and administrative needs. In collaboration with our team of data professionals, you will help build and run a modern data hub to enable advanced data-driven decision making for UT. You will leverage your creativity to solve complex technical problems and build effective relationships through open communication. ResponsibilitiesData Engineering: Lead the design, development, and automation of scalable, high-performance data pipelines across institutional systems, AWS, Databricks, and external vendor APIs. Implement Databricks Lakehouse architectures to unify structured and unstructured data, enabling AI-ready data platforms that support advanced analytics and machine learning use cases. Build robust and reusable ETL/ELT workflows using Databricks, Spark, Delta Lake, and Python to support batch and streaming integrations. Ensure performance, reliability, and data quality of data pipelines through proactive monitoring, optimization, and automated alerting. Partner with business and technical stakeholders to define and manage data pipeline parameters-including load frequency, transformation logic, and delivery mechanisms-ensuring alignment with analytical and AI goals. Ensure all data engineering solutions adhere to university security, compliance, and governance guidelines, while leveraging best practices in cloud-native data development. Develop and maintain comprehensive technical documentation of data pipeline designs, data flows, and operational procedures. Collaborate with enterprise data architects, data modelers, data stewards, and subject matter experts to ensure data consistency, lineage, and semantic alignment across the ecosystem. Continuously evaluate and introduce emerging technologies-such as Databricks Unity Catalog, MLflow, Delta Live Tables, and AI-driven data observability tools-to enhance the data engineering landscape. Drive innovation by modernizing existing pipelines toward AI-readiness, enabling future integration with predictive analytics and machine learning models. Stay current with advances in Databricks, AI-driven data engineering, and cloud technologies, and advocate for their responsible adoption. Contribute to the vision of building a modern, AI-ready data ecosystem that powers advanced analytics, automation, and decision intelligence across the University. Collaboration, Support, & Communication: Work both independently and collaboratively within cross-functional teams to deliver data products and pipelines that meet the University's evolving data and analytics needs. Communicate clearly and effectively with technical and non-technical stakeholders regarding project progress, risks, dependencies, and technical challenges. Promote collaboration and knowledge sharing within the Data Engineering team through brainstorming sessions, design reviews, and Databricks best-practice discussions. Foster a culture of learning and innovation, supporting team morale and professional growth. Provide mentorship and peer guidance to junior data engineers on data pipeline design, Databricks workflows, and coding best practices. Participate in change management processes to ensure transparency and coordination across teams during system enhancements or platform migrations. Perform other related functions as assigned. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience. At least two years of hands-on experience in Data Engineering using cloud-based platforms (AWS, Azure, or GCP) with emphasis on Databricks or Spark-based pipelines. Proven experience in designing, building, and automating scalable, production-grade data pipelines and integrations across multiple systems and APIs. Proficiency in Python and SQL, with demonstrated ability to write efficient, reusable, and maintainable code for data transformations and automation. Strong knowledge of ETL/ELT principles, data lakehouse architectures, and data quality monitoring. Experience implementing and maintaining CI/CD pipelines for data workflows using modern DevOps tools (e.g., GitHub Actions, Azure DevOps, Jenkins). Familiarity with data governance, security, and compliance practices within cloud environments. Strong analytical, troubleshooting, and performance optimization skills for large-scale distributed data systems. Excellent communication and collaboration skills to work effectively with technical and non-technical stakeholders. Demonstrated experience mentoring and guiding junior engineers or peers on technical projects. Equivalent combination of relevant education and experience may be substituted as appropriate. Preferred Qualifications Five or more years of experience in Data Engineering or related fields with increasing technical leadership responsibilities. Three or more years of experience developing and optimizing data pipelines on Databricks, including Delta Lake, Delta Live Tables, and Databricks Workflows. Experience designing AI-ready data architectures and integrating data workflows with machine learning and analytics environments. Experience with distributed data processing frameworks such as Spark, Kafka, or Flink. Databricks or AWS certifications (e.g., Databricks Certified Data Engineer Professional, AWS Solutions Architect, or AWS Data Analytics Specialty). Two or more years of experience in Agile software development environments, including use of tools such as JIRA, Confluence, or similar for issue tracking and project management. Hands-on experience with data orchestration tools (e.g., Airflow, Databricks Workflows, or AWS Step Functions). Exposure to data governance frameworks and AI/ML operations (MLOps) concepts such as MLflow or model monitoring. Demonstrated ability to lead or supervise small teams or project-based technical efforts. Passion for continuous learning and staying current with advancements in Databricks, cloud-based data engineering, and AI enablement. Salary Range $115,000 - $124,968 Working Conditions May work around standard office conditions Repetitive use of a keyboard at a workstation Use of manual dexterity (ex: using a mouse) Work Shift Monday - Friday 8am-5pm; Occasional nights or weekends may be required Required Materials Resume/CV 3 work references with their contact information; at least one reference should be from a supervisor Letter of interest Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. ---- Employment Eligibility: Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. ---- Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. ---- Background Checks: A criminal history background check will be required for finalist(s) under consideration for this position. ---- Equal Opportunity Employer: The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. ---- Pay Transparency: The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. ---- Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. ---- E-Verify: The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: E-Verify Poster (English and Spanish) [PDF] Right to Work Poster (English) [PDF] Right to Work Poster (Spanish) [PDF] ---- Compliance: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

Job Posting Title: Principal Data Engineer ---- Hiring Department: Enterprise Technology - Data to Insights (D2I) ---- All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt ---- Earliest Start Date: Immediately ---- Position Duration: Expected to Continue Until Dec 19, 2026 ---- Location: Texas ---- Job Details: General Notes This is a fixed term position that is expected to continue for a 1-year limited term from start date with a possibility for extension. Flexible work arrangements are available for this position, including the ability to work 100% remotely. Remote work for individuals who reside outside Texas but within the United States and its territories will be considered and requires Central Office approval. This position provides life/work balance with typically a 40-hour work week and travel limited to training (e.g., conferences/courses). Enterprise Technology is dedicated to supporting the mission of the University of Texas at Austin of unlocking potential and preparing future leaders of the state. Your skills will make a difference. You'll be working for a university that is internationally recognized for research and the work you do will make a difference in the lives of our students, faculty and staff. If you're the type of person that wants to know your work has meaning and impact, you'll like working for our campus. The University of Texas at Austin and Enterprise Technology provide an outstanding benefits package to our staff. Those benefits include: Competitive health benefits (Employee premiums covered at 100%; family premiums at 50%) Vision, dental, life, and disability insurance options Paid vacation, sick leave, and holidays Teachers Retirement System of Texas (a defined benefit retirement plan) Additional voluntary retirement programs: tax sheltered annuity 403(b) and a deferred compensation program 457(b) Flexible spending account options for medical and childcare expenses Training and conference opportunities Tuition assistance Athletic ticket discounts Access to UT Austin's libraries and museums Free rides on all UT Shuttle and Capital Metro buses with staff ID card For more details, please see: ****************************************** and ******************************************************* Must be authorized to work in the United States on a full-time basis for any employer without sponsorship. This position requires you to maintain internet service and a mobile phone with voice and data plans to be used when required for work. Purpose The Principal Data Engineer for the UT Data Hub improves university outcomes and advances the UT mission to transform lives for the benefit of society by increasing the useability and value of institutional data. You will be responsible for leading the data engineering team to innovate and implement the newest data engineering trends and best practices to create complex data pipelines withing UT's cloud data ecosystem in support of academic and administrative needs. In collaboration with our team of data professionals, you will help build and run a modern data hub to enable advanced data-driven decision making for UT. You will leverage your creativity to solve complex technical problems and build effective relationships through open communication within the team and outside partners. This particular position has a heavy emphasis on Databricks and AI Readiness. ResponsibilitiesTechnical Leadership: Architect, design, and lead the development of enterprise-scale, production-grade data platforms and pipelines using Databricks and cloud-native technologies (AWS, Azure, or GCP). Champion the adoption of the Databricks Lakehouse architecture to unify data warehousing, data science, and machine learning workloads across the organization. Guide the design and deployment of AI-ready data pipelines to support predictive analytics, generative AI, and advanced decision intelligence use cases. Define and enforce data engineering standards, including performance optimization, scalability, data observability, and cost efficiency. Oversee code reviews, architecture reviews, and system design discussions to ensure technical excellence and maintainability across the engineering team. Lead the implementation of robust data quality, governance, and compliance frameworks, leveraging Databricks Unity Catalog and modern metadata management tools. Solve complex data architecture and integration challenges using advanced technologies such as Spark, Delta Live Tables, Airflow, and MLflow. Drive the development of automated, CI/CD-enabled data workflows and promote best practices in data infrastructure as code (IaC) and DevOps for data. Project Management & Collaboration: Provide strategic technical leadership and mentorship to data engineering teams, fostering a collaborative environment that promotes innovation, accountability, and growth. Collaborate closely with data architects, AI/ML engineers, and analytics teams to align data solutions with organizational goals and research initiatives. Engage with cross-campus and cross-departmental technical groups to evangelize modern data practices and accelerate AI transformation initiatives. Lead knowledge-sharing sessions and architecture reviews on emerging data engineering trends, Databricks advancements, and AI integration techniques. Communication: Effectively communicate technical strategies, project status, risks, and architecture decisions to both technical and non-technical stakeholders. Translate complex data engineering concepts into clear business impacts, helping decision-makers understand opportunities and trade-offs. Produce clear and detailed technical documentation, design specifications, and operational playbooks to support long-term scalability and training. Advocate for data engineering as a foundational enabler of AI, analytics, and digital transformation initiatives across the institution. Innovation: Lead research and development efforts to evaluate and implement cutting-edge technologies within the Databricks ecosystem and broader AI/data landscape. Conduct feasibility studies and proofs of concept (POCs) for next-generation architectures involving AI model integration, real-time streaming, and intelligent automation. Partner with academic, administrative, and campus stakeholders to pilot AI-enabled data systems, such as model-assisted data validation and automated feature generation. Stay ahead of emerging trends in data engineering, AI readiness, and cloud infrastructure, continuously recommending and implementing innovative solutions. Other: Contribute to recruitment, hiring, and onboarding of new data engineering team members. Represent the data engineering function in strategic planning discussions and cross-organizational technology initiatives. Perform other duties as assigned, aligned with the mission to build a secure, scalable, and AI-enabled data ecosystem. Required Qualifications Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience. 5+ years of experience designing, implementing, and maintaining complex, production-grade data pipelines and enterprise data platforms. 5+ years of hands-on experience with cloud-based data engineering, preferably in Amazon Web Services (AWS), with strong command of services such as Glue, S3, Lambda, Redshift, and EMR. 3+ years of experience defining cloud data architecture and data strategy in large, distributed enterprise environments. Deep expertise with Databricks Lakehouse Platform, including Delta Lake, Delta Live Tables, and Unity Catalog, for scalable data ingestion, transformation, and governance. Proficiency in Python, PySpark, and SQL, with demonstrated experience in building ETL/ELT workflows across structured and unstructured data sources. Proven ability to design and implement high-performance, AI-ready data architectures supporting analytics, machine learning, and real-time data processing. Experience developing and deploying Continuous Integration / Continuous Delivery (CI/CD) pipelines for data engineering using tools such as Databricks Repos, GitHub Actions, or Terraform. Strong foundation in test-driven data engineering, including automated data quality, validation, and observability frameworks. Advanced knowledge of data governance, metadata management, and security compliance in cloud and Databricks environments. Excellent systems analysis, design, and troubleshooting skills with the ability to address performance bottlenecks in distributed data systems. Exceptional communication skills, with the ability to convey complex technical concepts clearly to both technical and non-technical stakeholders. Proven experience leading and mentoring teams, fostering technical excellence and innovation. Self-motivated and capable of working independently in a dynamic, evolving technology landscape. Equivalent combination of relevant education and experience may be substituted as appropriate. Preferred Qualifications 10+ years of experience in Data Engineering, Data Architecture, or related fields, including 5+ years of hands-on work with Databricks or equivalent large-scale data platforms. Demonstrated experience architecting and optimizing Lakehouse environments that integrate data science, analytics, and AI workloads. Proven success in implementing AI/ML-ready data pipelines and collaborating with Data Scientists and MLOps teams using tools like MLflow, Feature Store, or model registries. 5+ years of experience applying Agile software development methodologies and using tools such as JIRA, Confluence, or Azure DevOps for project tracking and delivery. Expertise in distributed data processing and streaming technologies such as Apache Spark, Kafka, Flink, or Airflow for orchestration and automation. Experience designing and operationalizing data observability and cost optimization strategies within Databricks and cloud environments. Strong understanding of data mesh, data fabric, and modern metadata management principles for large-scale organizations. Professional certifications such as Databricks Certified Data Engineer Professional, AWS Solutions Architect, or AWS Data Analytics Specialty are highly desirable. Demonstrated ability to drive innovation, introduce emerging technologies, and lead proofs of concept (POCs) for AI integration, automation, or advanced analytics. Commitment to continuous learning and technology leadership, staying current with advancements in Databricks, AI engineering, and modern cloud data ecosystems. Salary Range $125,000 - $143,712 Working Conditions May work around standard office conditions Repetitive use of a keyboard at a workstation Use of manual dexterity (ex: using a mouse) Work Shift Monday - Friday 8am-5pm; Occasional nights or weekends may be required Required Materials Resume/CV 3 work references with their contact information; at least one reference should be from a supervisor Letter of interest Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. ---- Employment Eligibility: Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. ---- Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. ---- Background Checks: A criminal history background check will be required for finalist(s) under consideration for this position. ---- Equal Opportunity Employer: The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. ---- Pay Transparency: The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. ---- Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. ---- E-Verify: The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: E-Verify Poster (English and Spanish) [PDF] Right to Work Poster (English) [PDF] Right to Work Poster (Spanish) [PDF] ---- Compliance: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

Job Posting Title: Lead Data Engineer ---- Hiring Department: Enterprise Technology - Data to Insights (D2I) ---- All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt ---- Earliest Start Date: Immediately ---- Position Duration: Expected to Continue Until Dec 19, 2026 ---- Location: Texas ---- Job Details: General Notes This is a fixed term position that is expected to continue for a 1-year limited term from start date with a possibility for extension. Flexible work arrangements are available for this position, including the ability to work 100% remotely. Remote work for individuals who reside outside Texas but within the United States and its territories will be considered and requires Central Office approval. This position provides life/work balance with typically a 40-hour work week and travel limited to training (e.g., conferences/courses). Enterprise Technology is dedicated to supporting the mission of the University of Texas at Austin of unlocking potential and preparing future leaders of the state. Your skills will make a difference. You'll be working for a university that is internationally recognized for research and the work you do will make a difference in the lives of our students, faculty and staff. If you're the type of person that wants to know your work has meaning and impact, you'll like working for our campus. The University of Texas at Austin and Enterprise Technology provide an outstanding benefits package to our staff. Those benefits include: Competitive health benefits (Employee premiums covered at 100%; family premiums at 50%) Vision, dental, life, and disability insurance options Paid vacation, sick leave, and holidays Teachers Retirement System of Texas (a defined benefit retirement plan) Additional voluntary retirement programs: tax sheltered annuity 403(b) and a deferred compensation program 457(b) Flexible spending account options for medical and childcare expenses Training and conference opportunities Tuition assistance Athletic ticket discounts Access to UT Austin's libraries and museums Free rides on all UT Shuttle and Capital Metro buses with staff ID card For more details, please see: ****************************************** and ******************************************************* Must be authorized to work in the United States on a full-time basis for any employer without sponsorship. This position requires you to maintain internet service and a mobile phone with voice and data plans to be used when required for work. Purpose The Lead Data Engineer for the UT Data Hub improves university outcomes and advances the UT mission to transform lives for the benefit of society by increasing the useability and value of institutional data. You will lead senior data engineers and data engineers to create complex data pipelines within UT's cloud data ecosystem in support of academic and administrative needs. In collaboration with our team of data professionals, you will help build and run a modern data hub to enable advanced data-driven decision making for UT. You will leverage your creativity to solve complex technical problems and build effective relationships through open communication within the team and outside partners. ResponsibilitiesTechnical Leadership: Design, architect, and deliver production-grade, scalable data pipelines and AI-ready data platforms using Databricks, AWS cloud-native services and modern data engineering frameworks. Lead end-to-end implementation of lakehouse data pipelines, ensuring performance, reliability, and cost efficiency. Champion industry best practices for data engineering. Conduct and participate in peer code reviews to maintain code quality and consistency across the team. Proactively identify and resolve bottlenecks in data ingestion, transformation, and orchestration processes using Databricks Delta Live Tables, Spark optimization techniques, and workflow automation. Implement systems for data quality, observability, governance, and compliance using tools such as Unity Catalog, Delta Lake, and data validation frameworks. Lead technical knowledge-sharing sessions on topics such as AI/ML integration, data lakehouse architecture, and emerging data technologies. Project Management: Define project milestones, timelines, and deliverables for data and AI initiatives, ensuring timely and high-quality outcomes. Collaborate with both internal and external stakeholders such as data architects, system architects, business users, Agile team members, and other D2I internal groups. Manage project priorities, sprint planning, and team workloads while balancing innovation with delivery. Communicate risks, dependencies, and resource constraints effectively, and develop mitigation plans for on-time project delivery. Team Management and Leadership: Supervise and mentor a team of Data Engineers (2-5 individuals) working on cloud, Databricks, and AI pipeline initiatives. Foster a culture of continuous learning, experimentation, and technical excellence, encouraging engineers to explore AI and automation use cases. Participate in recruiting, onboarding, and developing data engineering talent with strong Databricks and AI skillsets. Conduct performance reviews, set development goals, and create individualized growth plans for team members. Encourage collaboration across Data, AI/ML, Analytics, and Infrastructure teams to drive cross-functional success. Communication: Provide regular updates on project progress, technical challenges, and project milestones to both technical and business stakeholders. Translate complex technical concepts related to Databricks, AI, and data architecture into clear narratives for non-technical audiences. Foster a transparent communication culture and provide actionable feedback to promote a growth mindset. Ensure all data engineering processes, architectures, and standards are well-documented for reuse, governance, and knowledge continuity. Innovation and Other Duties: Stay current with advancements in AI, data engineering, and Databricks ecosystem, evaluating new tools and frameworks for potential adoption. Pilot and promote innovative solutions such as AI-assisted data quality checks, data observability automation, and intelligent pipeline optimization. Perform other duties as assigned, contributing to the organization's data-driven and AI-enabled transformation. Required Qualifications Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience. 5+ years of experience designing, implementing, and optimizing complex, production-grade data pipelines or enterprise-scale data platforms. 5 years of experience in cloud-based data engineering using Databricks and Amazon Web Services (AWS) (e.g., Glue, S3, Lambda, Redshift). 3+ years of experience managing or leading teams of data and/or software engineers, including mentorship, performance management, and project delivery. Expertise in Python, PySpark, and SQL, with strong understanding of data modeling, stored procedures, and scalable data transformations. Proven experience architecting and implementing ETL/ELT solutions across relational, non-relational, and lakehouse environments (e.g., Delta Lake, Parquet, or Iceberg). Experience designing and managing CI/CD pipelines and infrastructure as code (IaC) using tools such as Databricks Repos, CDK, Terraform, or GitHub Actions. Demonstrated knowledge of test-driven development (TDD) and data quality frameworks, ensuring reliability and reproducibility across data workflows. Deep understanding of data governance, security, and compliance standards in cloud environments. Excellent analytical, problem-solving, and debugging skills across distributed data systems. Proven ability to communicate complex technical concepts clearly to both technical and non-technical audiences. Experience supervising, mentoring, and guiding junior team members on technical and professional development. Equivalent combination of relevant education and experience may be substituted as appropriate. Preferred Qualifications 8+ years of experience in Data Engineering or related fields, including 5+ years of hands-on experience building and optimizing data pipelines on Databricks or similar large-scale data platforms. Proven experience implementing lakehouse architectures leveraging Databricks Delta Lake, Delta Live Tables, and Unity Catalog for governance and scalability. Experience designing AI-ready data platforms and integrating machine learning pipelines using tools such as MLflow or model registry frameworks. 3+ years of experience managing or leading cross-functional technical teams, fostering collaboration between Data Engineering, Analytics, and AI/ML teams. 5+ years of experience with Agile software development methodologies and project tracking systems such as JIRA. Expertise in distributed data processing and streaming frameworks, such as Apache Spark, Kafka, Flink, or Airflow, for orchestration and automation. Strong familiarity with data observability, cost optimization, and performance tuning in Databricks and cloud-native architecture. Professional certifications such as Databricks Certified Data Engineer Professional or AWS Solutions Architect or AWS Data Analytics Specialty are highly desirable. Demonstrated ability to introduce new technologies and best practices to modernize existing data environments and promote AI/analytics maturity across the organization. Passion for continuous learning and staying current with emerging technologies in data engineering, AI integration, and Databricks ecosystem advancements. Salary Range $125,000 - $143,712 Working Conditions May work around standard office conditions Repetitive use of a keyboard at a workstation Use of manual dexterity (ex: using a mouse) Work Shift Monday - Friday 8am-5pm; Occasional nights or weekends may be required Required Materials Resume/CV 3 work references with their contact information; at least one reference should be from a supervisor Letter of interest Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. ---- Employment Eligibility: Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. ---- Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. ---- Background Checks: A criminal history background check will be required for finalist(s) under consideration for this position. ---- Equal Opportunity Employer: The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. ---- Pay Transparency: The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. ---- Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. ---- E-Verify: The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: E-Verify Poster (English and Spanish) [PDF] Right to Work Poster (English) [PDF] Right to Work Poster (Spanish) [PDF] ---- Compliance: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

ABOUT US Do you have a passion for higher education? Do you want to make a positive impact on the college admissions process? Our staff help to remove barriers and encourage students to forge their path to a better future. Common App is a national not-for-profit organization dedicated to the pursuit of access, equity, and integrity in the college admission process. Each year we support more than 1 million students, one-third of whom are first-generation, as they apply to our more than 1100 diverse member colleges & universities using the Common App's free online application. If you are an experienced Data Scientist professional and want to be part of a mission-driven non-profit that uses innovative technology to advance the college admission process, Common App may be a great match for you. Common App is currently searching for a Data Scientist, Data Operations. RESPONSIBILITIES The Data Scientist position is charged with helping to build the organization's evolving data analytic and research function. Reporting to the Director of Data Science, Data Operations, the individual will be engaged with all aspects of the data operations function, including the development of internal and external-facing business intelligence products, oversight of data warehousing, and analyses and reports supporting Common App's organizational priorities and strategic initiatives. The Data Scientist will build efficient systems, processes, and workflows to execute the data operations agenda. They will produce and maintain ETL processes, tables, and visualizations supporting Common App's commitment to access and equity across the organization's functional areas. They will also collaborate closely with our Technology Services (Data Warehousing Engineering), Product Strategy, and Data Analytics and Research teams to maximize the impact of the data warehouse. Our organization is dedicated to reimagining college admissions to be more simple, logical, joyful, and equitable. Additionally, we hope to expand access to more low- and middle-income students via partnerships and innovations, leverage our data and research to be a voice for equity in the admissions process, and connect students to financial aid resources, information, and opportunities. QUALIFICATIONS This role requires: * Candidates must live in the United States. * Willing to travel to attend twice annual Common App Retreat. * Bachelors degree in quantitative social sciences discipline (e.g., Public Policy, Economics, Education Policy, Education Measurement, Psychometrics, Computational Psychology, etc.) or related quantitative field (e.g., Data Science, Statistics); or an equivalent combination of education and experience. * 4-6 years of related experience: data reporting, SQL, database architecture, ETL procedures, data analytics, data mining, data operations, and data quality. Or an equivalent combination of education and experience. * Experience in designing and implementing data warehousing, reporting, and analytic systems. * Experience working with and validating imperfect data. * Experience with descriptive and inferential statistics. * Experience working with National Center for Education Statistics, Census, College Scorecard, National Student Clearinghouse, Integrated Postsecondary Education Data System, and/or other publicly available datasets relevant to education. * Fluent in data manipulation and coding with SQL and/or R. * Understanding of the strategic context of Common Application's role in the higher education industry. * Strong interpersonal skills and service orientation. * Proven ability to communicate data and research findings to non-technical audiences. * Ability to work effectively in a collaborative and diverse environment The ideal candidate will possess: * Master's or doctorate degree in a quantitative discipline and at least one year of related experience. * 2-4 years of related experience with data visualization (Tableau, R preferred). * 2-4 years of related experience with Atlassian tools, Git, Databricks, AWS Sagemaker, or S3. * Fluent data manipulation and coding with tools such as SQL, Python, Tableau, and R. * Experience working with Agile frameworks for cross-functional, product-minded collaboration. * Teaching and supporting non-data experts in the use and interpretation of data. * A passion for higher education is a plus. PAY RANGE * $95,000 - $99,134.10 Common App is a virtual first environment. We value our employees' time and efforts. Our commitment to your success is enhanced by our competitive salary and an extensive benefits package including: * Work-Life balance * Virtual-first office * Paid Time Off (PTO) * Seven company-wide holidays * Nine floating holidays* * Sick leave * Monthly mental health day * floating holidays prorated depending on start date * Virtual-first support * Choice of PC of MAC laptop * May choose an external monitor, keyboard, mouse, and/or headset * One-time office set-up stipend * Monthly remote work stipend * Monthly mobile stipend * Financial security * Market-based salaries * Performance-based bonus * 403(b) retirement plan * 5% company contribution * additional 5% company match * 3-year vesting schedule * Participation may begin immediately * Health & wellness * Choice of two health insurance plans * Health Savings Account, depending on health plan selection * Medical Flexible Savings Account, depending on health plan selection * Vision insurance * Dental insurance * Insurance coverage begins on the date of hire * Dependent Care Flexible Spending Account * Maven virtual clinic for women's and family health * Company provided life and ad&d insurance * Opportunity to purchase additional life insurance for self, spouse, and dependents * Company provided short and long-term disability insurance * Career development * Budgeted annual funds for professional development * Growth opportunities within the company * Additional perks * Mutual of Omaha Employee Assistance Program * Mutual of Omaha will preparation services * Mutual of Omaha travel assistance * Payroll dedication pet insurance through PinPaws * 1Password family account We work to maintain the best possible environment for our staff, where people can learn and grow. We strive to provide a diverse, collaborative, team-oriented, creative environment where each person feels encouraged to contribute to our processes, decisions, planning, and culture. HOW DO I APPLY To apply for this opportunity, send your resume and cover letter with salary expectations. PROTECTING YOUR PERSONAL INFORMATION: During the recruiting process, please note that Common App will never: * Provide a job offer without an interview * Ask for payment to process documents, purchase equipment or for any other reason * Request banking or credit card information * Direct you to third-party services to obtain visas or other documentation As we work alongside you through our recruitment process, please remain alert and never provide financial information or payment to anyone claiming to offer a job opportunity. If you believe you're a victim of a job scam, report it to the Federal Trade Commission (FTC) or your state attorney general. To learn more about job scams, read the FBI's public service announcement or visit the FTC site.

Job Posting Title: Data Architect ---- Hiring Department: Data to Insights ---- All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt ---- ---- Position Duration: Expected to Continue Until Aug 31, 2026 ---- Location: Texas ---- Job Details: General Notes The Data to Insights (D2I) Initiative at UT Austin is an investment to build a trusted, integrated, and scalable information infrastructure that transforms complex UT data into valued insights for data-informed decisions. As a team member in the Data to Insights (D2I) Initiative, you will work with a cross-campus team using the latest cloud technologies to build a next-generation data ecosystem that will improve decision-making and advance the university's mission. We believe the best ideas arise from collaborative work among colleagues from varied backgrounds and experiences. If you're the type of person who loves to learn and wants to know your work has meaning, you may find your career home at UT Austin. Please note this position is currently funded through August 31, 2026. The University of Texas at Austin provides an outstanding benefits package to staff, including: Competitive health benefits (Employee premiums covered at 100%; family premiums at 50%) Vision, dental, life, and disability insurance options Paid vacation, sick leave, and holidays Teachers Retirement System of Texas (a defined benefit retirement plan) Additional voluntary retirement programs: tax sheltered annuity 403(b) and a deferred compensation program 457(b) Flexible spending account options for medical and childcare expenses Training and conference opportunities Tuition assistance Athletic ticket discounts Access to UT Austin's libraries and museums Free rides on all UT Shuttle and Capital Metro buses with staff ID card For more details, please see: ****************************************** and ******************************************************* This position requires you to maintain internet service and a mobile phone with voice and data plans to be used when required for work. This position provides life/work balance with typically a 40-hour work week and travel generally limited to training (e.g., conferences/courses). Purpose The Data Architect will play a key role in designing, implementing, and scaling cloud-based data architectures within our AWS environment. As we implement Databricks, this role will focus on modernizing our unified data platform to enable advanced analytics, machine learning, and real-time data processing. This position will collaborate closely with Data Engineering, DevOps, Data Modeling, Analytics, and Metadata teams to ensure scalable, efficient, and well-governed data solutions. Partnering with the Chief Enterprise Data Architect, you will drive data strategy, architecture, and implementation that align with our business Responsibilities Cloud Data Architecture Design and implement robust, scalable, and secure AWS-based data architectures with a focus on Databricks adoption. Partner with the Analytics and Data Modeling Group to ensure alignment on data modeling standards, schema design, and integration with data pipelines. Architect efficient ETL/ELT pipelines for data ingestion, transformation, and delivery, supporting operational and analytical workloads. Develop and maintain comprehensive data strategies that align with enterprise goals, enabling real-time and batch data processing. Create technical artifacts, standards, and architectural frameworks to address current and future business requirements. Ensure data quality, governance, and compliance throughout the data lifecycle. Databricks Implementation and Leadership Lead the implementation and optimization of Databricks for advanced data engineering, analytics, and machine learning workloads. Drive the adoption of Delta Lake architectures for high-performance data pipelines. Develop and operationalize scalable architectures for collaborative notebooks, machine learning workflows, and real-time processing. Collaboration and Innovation Collaborate with Data Engineering, DevOps, Data Modeling, Analytics, and Metadata teams to align on architectural decisions, standards, and processes. Serve as a technical advisor to stakeholders, effectively communicating complex data concepts to leadership and cross-functional teams. Foster a culture of collaboration, innovation, and continuous improvement within the team. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience. Proven experience designing and implementing enterprise-scale data architectures in AWS environments. Strong expertise in data modeling, schema design, and database structures, with experience working closely with modeling teams. Hands-on experience with Databricks for big data processing, analytics, and machine learning. Proficiency in building ETL/ELT pipelines and working with data integration tools (e.g., AWS Glue, Informatica). Deep understanding of SQL, NoSQL, and data storage technologies (e.g., Redshift, RDS, S3). Experience ensuring data governance, quality, and compliance. Strong troubleshooting skills and ability to optimize performance of cloud data solutions. Collaborative team player with excellent communication and leadership skills. Relevant education and experience may be substituted as appropriate. Preferred Qualifications Master's degree in a relevant field. Certifications in AWS (e.g., AWS Solutions Architect) and Databricks (e.g., Databricks Certified Professional). Expertise in Delta Lake architecture design and implementation. Familiarity with Agile development methodologies and tools (e.g., JIRA, Confluence). Proven experience leading data modernization initiatives across cross-functional teams. Salary Range $120,000 - $138,000 Working Conditions May work around standard office conditions Repetitive use of a keyboard at a workstation Use of manual dexterity Up to 100% remote at employee discretion with office work environment also an option. Majority of team is located in Austin, TX, and working remotely with infrequent in-office presence. Required Materials Resume/CV 3 work references with their contact information; at least one reference should be from a supervisor Letter of interest Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. ---- Employment Eligibility: Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. ---- Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. ---- Background Checks: A criminal history background check will be required for finalist(s) under consideration for this position. ---- Equal Opportunity Employer: The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. ---- Pay Transparency: The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. ---- Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. ---- E-Verify: The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: E-Verify Poster (English) [PDF] E-Verify Poster (Spanish) [PDF] Right To Work Poster (English) [PDF] Right To Work Poster (Spanish) [PDF] ---- Compliance: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

Job Posting Title: Data Architect * --- Hiring Department: Data to Insights * --- All Applicants * --- Weekly Scheduled Hours: 40 * --- FLSA Status: Exempt * --- * --- Expected to Continue Until Aug 31, 2026 * --- Location: Texas * --- Job Details: General Notes The Data to Insights (D2I) Initiative at UT Austin is an investment to build a trusted, integrated, and scalable information infrastructure that transforms complex UT data into valued insights for data-informed decisions. As a team member in the Data to Insights (D2I) Initiative, you will work with a cross-campus team using the latest cloud technologies to build a next-generation data ecosystem that will improve decision-making and advance the university's mission. We believe the best ideas arise from collaborative work among colleagues from varied backgrounds and experiences. If you're the type of person who loves to learn and wants to know your work has meaning, you may find your career home at UT Austin. Please note this position is currently funded through August 31, 2026. The University of Texas at Austin provides an outstanding benefits package to staff, including: * Competitive health benefits (Employee premiums covered at 100%; family premiums at 50%) * Vision, dental, life, and disability insurance options * Paid vacation, sick leave, and holidays * Teachers Retirement System of Texas (a defined benefit retirement plan) * Additional voluntary retirement programs: tax sheltered annuity 403(b) and a deferred compensation program 457(b) * Flexible spending account options for medical and childcare expenses * Training and conference opportunities * Tuition assistance * Athletic ticket discounts * Access to UT Austin's libraries and museums * Free rides on all UT Shuttle and Capital Metro buses with staff ID card For more details, please see: ****************************************** and ******************************************************* This position requires you to maintain internet service and a mobile phone with voice and data plans to be used when required for work. This position provides life/work balance with typically a 40-hour work week and travel generally limited to training (e.g., conferences/courses). Purpose The Data Architect will play a key role in designing, implementing, and scaling cloud-based data architectures within our AWS environment. As we implement Databricks, this role will focus on modernizing our unified data platform to enable advanced analytics, machine learning, and real-time data processing. This position will collaborate closely with Data Engineering, DevOps, Data Modeling, Analytics, and Metadata teams to ensure scalable, efficient, and well-governed data solutions. Partnering with the Chief Enterprise Data Architect, you will drive data strategy, architecture, and implementation that align with our business Responsibilities Cloud Data Architecture * Design and implement robust, scalable, and secure AWS-based data architectures with a focus on Databricks adoption. * Partner with the Analytics and Data Modeling Group to ensure alignment on data modeling standards, schema design, and integration with data pipelines. * Architect efficient ETL/ELT pipelines for data ingestion, transformation, and delivery, supporting operational and analytical workloads. * Develop and maintain comprehensive data strategies that align with enterprise goals, enabling real-time and batch data processing. * Create technical artifacts, standards, and architectural frameworks to address current and future business requirements. * Ensure data quality, governance, and compliance throughout the data lifecycle. Databricks Implementation and Leadership * Lead the implementation and optimization of Databricks for advanced data engineering, analytics, and machine learning workloads. * Drive the adoption of Delta Lake architectures for high-performance data pipelines. * Develop and operationalize scalable architectures for collaborative notebooks, machine learning workflows, and real-time processing. Collaboration and Innovation * Collaborate with Data Engineering, DevOps, Data Modeling, Analytics, and Metadata teams to align on architectural decisions, standards, and processes. * Serve as a technical advisor to stakeholders, effectively communicating complex data concepts to leadership and cross-functional teams. * Foster a culture of collaboration, innovation, and continuous improvement within the team. Required Qualifications * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience. * Proven experience designing and implementing enterprise-scale data architectures in AWS environments. * Strong expertise in data modeling, schema design, and database structures, with experience working closely with modeling teams. * Hands-on experience with Databricks for big data processing, analytics, and machine learning. * Proficiency in building ETL/ELT pipelines and working with data integration tools (e.g., AWS Glue, Informatica). * Deep understanding of SQL, NoSQL, and data storage technologies (e.g., Redshift, RDS, S3). * Experience ensuring data governance, quality, and compliance. * Strong troubleshooting skills and ability to optimize performance of cloud data solutions. * Collaborative team player with excellent communication and leadership skills. Relevant education and experience may be substituted as appropriate. Preferred Qualifications * Master's degree in a relevant field. * Certifications in AWS (e.g., AWS Solutions Architect) and Databricks (e.g., Databricks Certified Professional). * Expertise in Delta Lake architecture design and implementation. * Familiarity with Agile development methodologies and tools (e.g., JIRA, Confluence). * Proven experience leading data modernization initiatives across cross-functional teams. Salary Range $120,000 - $138,000 Working Conditions * May work around standard office conditions * Repetitive use of a keyboard at a workstation * Use of manual dexterity * Up to 100% remote at employee discretion with office work environment also an option. Majority of team is located in Austin, TX, and working remotely with infrequent in-office presence. Required Materials * Resume/CV * 3 work references with their contact information; at least one reference should be from a supervisor * Letter of interest Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. * --- Employment Eligibility: Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. * --- Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. * --- Background Checks: A criminal history background check will be required for finalist(s) under consideration for this position. * --- Equal Opportunity Employer: The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. * --- Pay Transparency: The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. * --- Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. * --- E-Verify: The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: * E-Verify Poster (English) [PDF] * E-Verify Poster (Spanish) [PDF] * Right To Work Poster (English) [PDF] * Right To Work Poster (Spanish) [PDF] * --- Compliance: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

**Your Work Shapes the World at Caterpillar Inc.** When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. We have an exciting new opportunity at Caterpillar for a Research & Data Consultant to provide strategic, timely, cost effective, accurate, and relevant intelligence to the worldwide employees of Caterpillar by performing research, answering inquiries, and providing information and analysis that contributes to the decision making and success of corporate and business unit objectives. The candidate will serve as the technical contact for information platforms developed and deployed by the information center for enterprise-wide use. The successful candidate will also spend approximately 15% of their time managing local library requests, processes, tools, and the strategic vision of the physical resource library in Irving, Texas. **What You Will Do:** + Monitoring competitive and industry news and compiling and publishing a curated weekly newsletter for global employee consumption. + Serving as the technical point of contact for the development, maintenance, and growth of a Snowflake data warehouse which serves as an enterprise central repository for external company, industry, and industrial project data. + Performing data analysis and creating visualizations in Power BI to meet business needs. Create, deploy, and maintain GenAI agents on structured and unstructured data and help formulate strategy and best practices around using technologies to derive meaningful insights around external business information. + Maintaining and cataloging a small collection of print materials at the corporate headquarters location. + Assisting in the development, maintenance, content collection, and training of Goldmine, Caterpillar's Intelligence Portal, including measuring user satisfaction of services provided through periodic surveys, analyzing survey responses and seeking means for continuous improvement. + Identifying and evaluating current technologies, information resources, and services related to the field of information collection, storage, and delivery and deploying these solutions across the enterprise. + Managing multi-channel reference and research inquiries from global Caterpillar employees on a wide variety of business, industry, competitive, and management topics. + Incorporating library services and leading local effort to increase/maintain awareness of library resources and services, including creating and delivering presentations and utilizing enterprise-wide communication tools to promote and train on library resources and services. + Maintaining and utilizing networks of people and resources for obtaining Voice of the Business to further library and information services within Caterpillar. **What You Have:** + **Education/Experience:** Masters Degree in Library & Information Science with Data Science experience, Informatics, Bachelors of Science in Information Science + Data Science, or BS Data Engineering or Analytics with a background in a corporate or library environment. Considerable experience in data science/engineering and library/information services desired. + **Business Analysis:** Knowledge of business analysis and the set of tasks, techniques and tools required to identify business needs; ability to recommend solutions that deliver value to stakeholders. + **Active Learning:** Understanding the necessity for continuous personal growth and learning; ability to gauge one's strengths, limitations, and interests accurately, and use this knowledge for purposes of performance effectiveness self-development + **Effective Communications:** Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors. + **Initiative:** Being proactive and committing to action on self-identified job responsibilities and challenges; ability to seek out work and the drive to accomplish goals. + **Interpersonal Relationships:** Knowledge of the techniques and the ability to work with a variety of individuals and groups in a constructive and collaborative manner. + **Competitive Environment:** Knowledge of business market concepts and principles; ability to utilize the processes, tools, and techniques for gathering, analyzing, and communicating information about the competitive environment. + **Market Research:** Knowledge of market research; ability to collect, collate and analyze information about existing or potential markets and market needs. **Additional Information:** + The primary location for this position is at our Global Headquarters in Irving, Texas + Limited travel required, conference/trade show travel and/or travel to the Business Resource Center in Peoria, IL or other Caterpillar facilities. (Less than 5% of working time) + Domestic relocation assistance is available for those who qualify + Sponsorship is not available **Summary Pay Range:** $112,710.00 - $169,060.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. **Benefits:** Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. + Medical, dental, and vision benefits* + Paid time off plan (Vacation, Holidays, Volunteer, etc.)* + 401(k) savings plans* + Health Savings Account (HSA)* + Flexible Spending Accounts (FSAs)* + Health Lifestyle Programs* + Employee Assistance Program* + Voluntary Benefits and Employee Discounts* + Career Development* + Incentive bonus* + Disability benefits + Life Insurance + Parental leave + Adoption benefits + Tuition Reimbursement * These benefits also apply to part-time employees **Posting Dates:** January 16, 2026 - January 29, 2026 Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community (*********************************************** .

Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. We have an exciting new opportunity at Caterpillar for a Research & Data Consultant to provide strategic, timely, cost effective, accurate, and relevant intelligence to the worldwide employees of Caterpillar by performing research, answering inquiries, and providing information and analysis that contributes to the decision making and success of corporate and business unit objectives. The candidate will serve as the technical contact for information platforms developed and deployed by the information center for enterprise-wide use. The successful candidate will also spend approximately 15% of their time managing local library requests, processes, tools, and the strategic vision of the physical resource library in Irving, Texas. What You Will Do: * Monitoring competitive and industry news and compiling and publishing a curated weekly newsletter for global employee consumption. * Serving as the technical point of contact for the development, maintenance, and growth of a Snowflake data warehouse which serves as an enterprise central repository for external company, industry, and industrial project data. * Performing data analysis and creating visualizations in Power BI to meet business needs. Create, deploy, and maintain GenAI agents on structured and unstructured data and help formulate strategy and best practices around using technologies to derive meaningful insights around external business information. * Maintaining and cataloging a small collection of print materials at the corporate headquarters location. * Assisting in the development, maintenance, content collection, and training of Goldmine, Caterpillar's Intelligence Portal, including measuring user satisfaction of services provided through periodic surveys, analyzing survey responses and seeking means for continuous improvement. * Identifying and evaluating current technologies, information resources, and services related to the field of information collection, storage, and delivery and deploying these solutions across the enterprise. * Managing multi-channel reference and research inquiries from global Caterpillar employees on a wide variety of business, industry, competitive, and management topics. * Incorporating library services and leading local effort to increase/maintain awareness of library resources and services, including creating and delivering presentations and utilizing enterprise-wide communication tools to promote and train on library resources and services. * Maintaining and utilizing networks of people and resources for obtaining Voice of the Business to further library and information services within Caterpillar. What You Have: * Education/Experience: Masters Degree in Library & Information Science with Data Science experience, Informatics, Bachelors of Science in Information Science + Data Science, or BS Data Engineering or Analytics with a background in a corporate or library environment. Considerable experience in data science/engineering and library/information services desired. * Business Analysis: Knowledge of business analysis and the set of tasks, techniques and tools required to identify business needs; ability to recommend solutions that deliver value to stakeholders. * Active Learning: Understanding the necessity for continuous personal growth and learning; ability to gauge one's strengths, limitations, and interests accurately, and use this knowledge for purposes of performance effectiveness self-development * Effective Communications: Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors. * Initiative: Being proactive and committing to action on self-identified job responsibilities and challenges; ability to seek out work and the drive to accomplish goals. * Interpersonal Relationships: Knowledge of the techniques and the ability to work with a variety of individuals and groups in a constructive and collaborative manner. * Competitive Environment: Knowledge of business market concepts and principles; ability to utilize the processes, tools, and techniques for gathering, analyzing, and communicating information about the competitive environment. * Market Research: Knowledge of market research; ability to collect, collate and analyze information about existing or potential markets and market needs. Additional Information: * The primary location for this position is at our Global Headquarters in Irving, Texas * Limited travel required, conference/trade show travel and/or travel to the Business Resource Center in Peoria, IL or other Caterpillar facilities. (Less than 5% of working time) * Domestic relocation assistance is available for those who qualify * Sponsorship is not available Summary Pay Range: $112,710.00 - $169,060.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. Benefits: Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. * Medical, dental, and vision benefits* * Paid time off plan (Vacation, Holidays, Volunteer, etc.)* * 401(k) savings plans* * Health Savings Account (HSA)* * Flexible Spending Accounts (FSAs)* * Health Lifestyle Programs* * Employee Assistance Program* * Voluntary Benefits and Employee Discounts* * Career Development* * Incentive bonus* * Disability benefits * Life Insurance * Parental leave * Adoption benefits * Tuition Reimbursement * These benefits also apply to part-time employees Posting Dates: January 16, 2026 - January 29, 2026 Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community.

This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: Job Family Definition: The Cloud Developer builds from the ground up to meet the needs of mission-critical applications, and is always looking for innovative approaches to deliver end-to-end technical solutions to solve customer problems. Brings technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions. Collaborates with project managers and development partners to ensure effective and efficient delivery, deployment, operation, monitoring, and support of Cloud engagements. The Cloud Developer provides business value expertise to drive the development of innovative service offerings that enrich HPE's Cloud Services portfolio across multiple systems, platforms, and applications. Management Level Definition: Contributions include applying developed subject matter expertise to solve common and sometimes complex technical problems and recommending alternatives where necessary. Might act as project lead and provide assistance to lower level professionals. Exercises independent judgment and consults with others to determine best method for accomplishing work and achieving objectives. Responsibilities: * Research, propose, design, implement, operate and maintain cloud platforms for big data exploration and visualization, in support of a team of data scientists * Deploy data science solutions into cloud environments * Work with data scientists to troubleshoot cloud workflows * Closely collaborate with our datalake team on cloud technologies * Identify and implementing cost-saving strategies to reduce ongoing cloud expenses * Build CI/CD pipelines * Deploy and maintain orchestration and monitoring systems for big data processing * Help build images and containerize applications Education and Experience Required: * Bachelor's degree in computer science, engineering, information systems, or closely related quantitative discipline. Master's desirable. * Typically, 4-7 years' experience. Knowledge and Skills: * Strong programming skills in Python, Java, Golang, or JavaScript. * Good understanding of distributed systems, event-driven programming paradigms, and designing for scale and performance. * Experience with cloud-native applications, developer tools, managed services, and next-generation databases. * Knowledge of DevOps practices like CI/CD, infrastructure as code, containerization, and orchestration using Kubernetes. * Good written and verbal communication skills and agile in a changing environment. * Comfortable with AWS services * Familiarity with the landscape of big data exploration, visualization, and prototyping platform * Familiarity with statistical and machine learning techniques * Familiarity with wireless and wired networking protocols Additional Skills: Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX) What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #puertorico #aruba Job: Engineering Job Level: TCP_03 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. No Fees Notice & Recruitment Fraud Disclaimer It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

This role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: Responsibilities : * Application design and development in streaming or batch mode over Kafka and Spark * Evaluate and implement new technologies and tools to improve efficiency and reduce cost * Analyze and validate telemetry data, learn error patterns and produce views that show network problem conditions and patterns * Work with a team of data scientists, domain experts, architects and other engineers to increase the accuracy of AI outcomes in our device management product * Build CI/CD pipelines * Work with SMEs and data scientists to increase accuracy of actionable insights Education and Experience Required * Master's Degree in Computer Science, Information Systems, or equivalent * At least 4 years of work experience in relevant technologies * Bachelor's degree may be considered if candidate demonstrates exceptional abilities Knowledge and Skills * 2+ years programming in experience Python * 1+ years programming experience in Java * Expertise in big data technologies such as Apache Spark or Kafka with at least 1 year of relevant experience * Experience with containerization and orchestration tools such as Kubernetes and Airflow with at least 1 year of relevant experience * Experience developing applications in Cloud computing environments such as AWS with at least 2 years of relevant experience Additional Desirable Skills * Experience with developing Generative-AI and Agentic AI based applications * Experience with managing and analyzing large data sets * Good understanding of WiFi Wireless Networking, Switching and Routing concepts Additional Skills: Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX) What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #puertorico #aruba Job: Engineering Job Level: TCP_03 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. No Fees Notice & Recruitment Fraud Disclaimer It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

Overview As a member of the data engineering team, you will be the key technical expert developing and overseeing PepsiCo's data product build & operations and drive a strong vision for how data engineering can proactively create a positive impact on the business. You'll be an empowered member of a team of data engineers who build data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As a member of the data engineering team, you will help lead the development of very large and complex data applications into public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products Responsibilities Active contributor to code development in projects and services Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance Responsible for implementing best practices around systems integration Security, performance and data management Empower the business by creating value through the increased adoption of data Data science and business intelligence landscape Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions Compensation and Benefits: The expected compensation range for this position is between $89,000 - $149,000 Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process Bonus based on performance and eligibility target payout is 10% of annual salary paid out annually Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan Qualifications 6+ years of overall technology experience that includes at least 4+ years of hands-on software development, data engineering, and systems architecture. 4+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 4+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.). 2+ years in cloud data engineering experience in Azure(Azure Data Factory(ADF), ADLS-2, Databricks(Lakehouse, Workflow SQL, Unity catalog). Fluent with Azure cloud services. Azure or Databricks Certification is a plus. Experience with integration of multi cloud services with on-premises technologies. Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines. Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one MPP database technology such as Redshift, Synapse or SnowFlake. Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes. Experience with version control systems like Github and deployment & CI tools. Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools. Experience with Statistical/ML techniques is a plus. Experience with building solutions in the Supply chain space(Digital Procurement, Manufacturing, Cost, Warehouse, Network Design) is a plus. Understanding of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Familiarity with business intelligence tools (such as PowerBI). EEO Statement Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy. Please view our Pay Transparency Statement 6+ years of overall technology experience that includes at least 4+ years of hands-on software development, data engineering, and systems architecture. 4+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 4+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.). 2+ years in cloud data engineering experience in Azure(Azure Data Factory(ADF), ADLS-2, Databricks(Lakehouse, Workflow SQL, Unity catalog). Fluent with Azure cloud services. Azure or Databricks Certification is a plus. Experience with integration of multi cloud services with on-premises technologies. Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines. Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one MPP database technology such as Redshift, Synapse or SnowFlake. Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes. Experience with version control systems like Github and deployment & CI tools. Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools. Experience with Statistical/ML techniques is a plus. Experience with building solutions in the Supply chain space(Digital Procurement, Manufacturing, Cost, Warehouse, Network Design) is a plus. Understanding of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Familiarity with business intelligence tools (such as PowerBI). Active contributor to code development in projects and services Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance Responsible for implementing best practices around systems integration Security, performance and data management Empower the business by creating value through the increased adoption of data Data science and business intelligence landscape Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions Compensation and Benefits: The expected compensation range for this position is between $89,000 - $149,000 Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process Bonus based on performance and eligibility target payout is 10% of annual salary paid out annually Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan

Job Posting Title: Data Engineer Manager ---- Hiring Department: Dell Medical School ---- All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt ---- Earliest Start Date: Immediately ---- Position Duration: Expected to Continue ---- Location: AUSTIN, TX ---- Job Details: Purpose The Data Engineer Manager leads a team of data engineers responsible for designing, building, and maintaining scalable data infrastructure and pipelines that support clinical, operational, and financial analytics across the healthcare system. This role collaborates closely with data scientists, software engineers, business intelligence analysts, and clinical informatics teams to ensure data is accessible, accurate, and secure. Reporting to the Director of Data Systems and Analytics, the position plays a critical role in enabling data-driven decision-making and innovation in a complex healthcare environment. Responsibilities Data Architecture & Pipeline Management Designs and oversees scalable data pipelines for structured and unstructured data across clinical, operational, and financial systems. Manages ETL/ELT processes using tools such as Apache Spark, Kafka, Airflow, and other modern orchestration platforms. Ensures data integrity, availability, and performance across cloud and on-premise platforms. Implements and maintains data lake and warehouse solutions (e.g., Snowflake, BigQuery, Redshift). Collaborates with infrastructure and application teams to optimize data flow and storage. Team Leadership & Development Recruits, mentors, and manages a team of data engineers, fostering a high-performance and inclusive team culture. Conducts performance evaluations, sets development goals, and supports career progression. Promotes collaboration, innovation, and continuous learning through team meetings, code reviews, and knowledge-sharing sessions. Aligns team goals with organizational priorities and strategic initiatives. Ensures adherence to engineering best practices and coding standards. Stakeholder Collaboration & Requirements Gathering Works closely with clinical, operational, and financial stakeholders to define data needs and translate business requirements into technical specifications. Facilitates cross-functional communication between IT, analytics, clinical informatics, and business intelligence teams. Leads discovery sessions and data mapping exercises to ensure alignment between data engineering deliverables and business objectives. Supports the development of dashboards, reports, and predictive models by enabling access to clean, well-structured data. Data Governance & Compliance Ensures adherence to HIPAA, HITECH, and internal data governance policies, including data privacy and security protocols. Implements data security measures, access controls, and encryption standards across all data platforms. Supports audit readiness and regulatory reporting by maintaining accurate metadata and lineage documentation. Collaborates with data governance and compliance teams to establish and enforce data quality standards. Strategic Planning & Innovation Contributes to the development and execution of the enterprise data strategy and roadmap. Evaluates emerging technologies and recommends adoption to improve scalability, performance, and cost-efficiency. Aligns data engineering initiatives with strategic goals of the healthcare system, including population health, value-based care, and operational excellence. Participates in long-term planning for data infrastructure modernization and cloud migration. Budget & Resource Management Manages the data engineering team's operational budget, including software licenses, cloud services, training, and professional development. Tracks resource utilization and optimizes operational efficiency through capacity planning and workload balancing. Supports vendor selection, contract negotiations, and license renewals for data platforms and tools. Provides input into capital planning and technology investment decisions. Marginal or Periodic Functions: Participates in enterprise-wide data governance committees. Presents at internal and external conferences or forums. Assists in grant writing or research data infrastructure proposals. Conducts periodic system performance audits. Adheres to internal controls and reporting structure. Performs related duties as required. Knowledge/Skills/Abilities Manages Complexity Breaks down ambiguous problems into manageable components. Uses multiple data sources to inform decisions. Designs scalable solutions for evolving data needs. Tech Savvy Evaluates and integrates new tools (e.g., cloud platforms). Encourages experimentation and innovation. Maintains fluency in modern data engineering stacks. Collaborates Facilitates cross-functional meetings. Resolves conflicts constructively. Shares credit and fosters team cohesion. Plans and Aligns Develops clear project plans and milestones. Communicates expectations effectively. Adjusts plans based on feedback and performance. Ensures Accountability Tracks progress and outcomes. Provides timely feedback. Establishes clear roles and responsibilities. Strategic Mindset Anticipates future data needs. Aligns technical decisions with business strategy. Identifies long-term opportunities for data innovation. Required Qualifications Bachelor's degree in Computer Science, Information Systems, or related field. 10 years of experience in data engineering or data architecture including designing data architectures, developing data pipelines, implementing data quality, and performance monitoring. 2 years of experience in a technical leadership or team lead role with a track record of delivering complex data projects and mentoring junior engineers in a fast-paced department. Experience in healthcare data systems (e.g., EHR, claims, HL7, FHIR). Relevant education and experience may be substituted as appropriate. Preferred Qualifications Master's degree in Data Science, Engineering, or Healthcare Informatics. 7+ years of progressive experience in data engineering. Experience with cloud platforms (e.g., GCP, AWS, Azure). Salary Range $135,000+ depending on qualifications Working Conditions Standard office conditions. Required Materials Resume/CV 3 work references with their contact information; at least one reference should be from a supervisor Letter of interest Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. ---- Employment Eligibility: Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. ---- Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. ---- Background Checks: A criminal history background check will be required for finalist(s) under consideration for this position. ---- Equal Opportunity Employer: The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. ---- Pay Transparency: The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. ---- Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. ---- E-Verify: The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: E-Verify Poster (English and Spanish) [PDF] Right to Work Poster (English) [PDF] Right to Work Poster (Spanish) [PDF] ---- Compliance: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

Department: IT - BI DW - Data Warehouse Contract Months:12 Salary Range: $84,127.00 - $138,810.00 Academic Year: 25-26 The Engineer - Data Visualizations & Insights supports the design, development, and maintenance of Power BI dashboards and reports across HISD. This role works with business users and analysts to translate data requirements into interactive, accurate, and visually engaging reports. The Engineer helps ensure that key stakeholders have access to timely, user-friendly insights on academic, financial, and operational performance. MAJOR DUTIES & RESPONSIBILITIES 1. Build and maintain interactive dashboards and reports using Power BI and Microsoft Fabric datasets. 2. Translate business requirements into clean, functional report layouts with intuitive filters and visuals. 3. Collaborate with analysts, data architects, and department staff to define KPIs and business rules. 4. Ensure dashboards are visually consistent, accurate, and adhere to accessibility standards. 5 Create and manage dataflows and shared datasets to support teamwide efficiency. MAJOR DUTIES & RESPONSIBILITIES CONTINUED 6. Assist with performance tuning, refresh scheduling, and monitoring of key reports. 7. Document dashboard logic, filters, data sources, and assumptions. 8. Respond to user feedback and help train departments in basic self-service analytics. 9. Participate in user testing and rollout of new dashboards. 10 Perform other job-related duties as assigned. EDUCATION Bachelor's degree in business analytics, computer science, information systems, or related field preferred. Equivalent experience may substitute for formal education. WORK EXPERIENCE Minimum of 3 years in dashboard/report development or business intelligence. Experience with education or public-sector reporting preferred. SKILL AND/OR REQUIRED LICENSING/CERTIFICATION * Power BI development experience including DAX and data modeling * Familiarity with Microsoft Fabric, Azure Synapse Analytics and enterprise datasets * Basic SQL skills and comfort working with large data models * Strong attention to detail and layout/visualization design sense LEADERSHIP RESPONSIBILITIES None. Works under direction of Senior Engineers and the Director. WORK COMPLEXITY/INDEPENDENT JUDGMENT Handles routine to moderately complex reporting tasks. Escalates structural design decisions or conflicting requirements. BUDGET AUTHORITY None. PROBLEM SOLVING Resolves data display errors, refresh failures, and layout issues. Collaborates to address unclear or inconsistent metrics. IMPACT OF DECISIONS Supports leadership decision-making through accurate, timely data delivery. Errors may lead to misunderstandings or delayed responses. COMMUNICATION/INTERACTIONS Interacts with analysts, campus leaders, and central office users to clarify needs and deliver visual solutions. CUSTOMER RELATIONSHIPS Builds trust by providing intuitive, accurate dashboards that help users better understand performance metrics. WORKING/ENVIRONMENTAL CONDITIONS Office environment. May require extended hours during peak reporting periods or go-live windows, hybrid setting available. Houston Independent School District is an equal opportunity employer.

Department: Data Science and Analytics Contract Months:12 Salary Range: $90,000.00 - $110,000.00 Academic Year: 25-26 The Cross-Functional Team Member for Data Science and Analytics oversees the team's efforts in advanced data analysis, survey design, and repo1ting to support Houston ISD's strategic goals within the Office of Academics. This role ensures high-quality insights, drives data-informed decision-making, and delivers solutions that optimize operations and improve outcomes for students, families, and staff. MAJOR DUTIES & RESPONSIBILITIES * Manages and executes data projects, including advanced data analysis, survey design, and reporting, by coordinating workflows, setting timelines, and ensuring timely and high-quality deliverables. * Supervises team members by providing clear guidance, monitoring progress, and fostering a collaborative and innovative work environment to achieve project goals and support professional growth. * Collaborates with stakeholders and cross-functional teams to identify data needs, define project goals, and deliver impactful solutions that align with district priorities and address key challenges. * Leads and executes advanced analytical tasks, including building models, dashboards, and statistical analyses, serving as the team's technical expert in tools like Excel, R, Python, and Power Bl. MAJOR DUTIES & RESPONSIBILITIES CONTINUED * Ensures the quality and accuracy of alt deliverables, including documentation, methodologies, and reports, to support transparency, reproducibility, and effective decision-making. * Serves as a trusted advisor to the data director by offering analytical expertise, proposing innovative methodologies, and aligning team efforts with strategic goals. Leads the adoption of advanced tools and techniques to ensure the team delivers impactful, data-driven solutions that address district-wide challenges. * Other duties as assigned. EDUCATION Bachelor's Degree * Applicants who do not meet these education qualifications may be considered if they have a unique combination of education and work experience that indicate potential for success in this role. WORK EXPERIENCE At least 3 years working in the district/central office of a large urban school district. * Applicants who do not meet these education qualifications may be considered if they have a unique combination of education and work experience that indicate potential for success in this role. SKILL AND/OR REQUIRED LICENSING/CERTIFICATION Microsoft Office SAP Must possess expertise in Excel, R, Python, and Power BI for data analysis and visualization, as well as an advanced understanding of statistical analysis, predictive modeling, and machine learning techniques. Proficiency in designing and analyzing surveys using tools like Qualtrics and familiarity with data manipulation and integration using SQL and Power Que1y are essential. Experience with spatial analysis and visualization techniques is also required. This role demands strong leadership skills to guide and mentor a team of data professionals, along with project management expertise to oversee complex data analysis projects. Analytical problem-solving abilities, attention to detail, and excellent written and verbal communication skills are essential for conveying complex findings to non- technical stakeholders LEADERSHIP RESPONSIBILITIES Manages. Accomplishes the majority of work objectives through the management of direct reports. Provides day-to-day direction to staff; may become directly involved, as required, to meet schedules and resolve problems. Responsible for assigning work, meeting completion dates, interpreting and ensuring application of policies and procedures. Receives assignments in the form of objectives, with goals and the process by which to meet goals. Provides input to hiring, performance and budget. WORK COMPLEXITY/INDEPENDENT JUDGMENT Work involves the application of moderately complex procedures and tasks that are quite varied. Independent judgment is often required to select and apply the most appropriate of available resources. Ongoing supervision is provided on an "as needed" basis. BUDGET AUTHORITY Complies and organizes data and figures. PROBLEM SOLVING Decisions are made with greater freedom and discretion, including recommendations that are subject to approval on matters that may affect multiple departments across HISD. Job is frequently expected to recommend new solutions to problems, to improve existing methods/procedures/services and generate new ideas. May also review decisions made by other individuals on more routine matters. IMPACT OF DECISIONS Decisions have considerable impact to multiple divisions or the organization causing risks or improvements to relationships, significant efficiencies, or delays in operations, and/or significant financial gains or expenses. Errors are serious and difficult to discover, normally involve decisions not subject to detailed review and will result in excessive costs and/or significant project delays. COMMUNICATION/INTERACTIONS Collaborate and solve problems - works with others to resolve problems, clarify or interpret complex information/policies, and provide initial screening/negotiations without approval authority. Interactions are typically with customers, senior level professional staff, and managers. CUSTOMER RELATIONSHIPS Regularly assesses and diffuses complex, and escalated customer issues. Takes personal responsibility and accountability for solving systemic customer service problems. Regularly explores alternative and creative solutions to meeting the needs of the customer within HISD's policies and guidelines. WORKING/ENVIRONMENTAL CONDITIONS Work is normally performed in a typical interior work environment which does not subject the employee toany hazardous or unpleasant elements. Ability to carry and/or lift less than 15 pounds Houston Independent School District is an equal opportunity employer.

Are you someone who strives for excellence, values accountability, provides the best service, all while reflecting unwavering integrity? Our talented team members across the state follow the behaviors, beliefs and outcomes of these core values to ensure that our vision is met. If you're ready to join the TSTC family and make great memories please complete our application process. Job DescriptionThe Associate Data Engineer is responsible for modeling and building data solutions across various databases, Azure and PostgreSQL. The engineer will be charged with data infrastructure design and development. Partnering with OIT and vendors, the engineer will design and implement scalable, reliable, and secure data pipelines and ETL/ELT processes in cloud environments. The salary range for this position is $70,000- $80,000 annually. The final salary offer will be determined based on the candidate's qualifications and experience. Please Note: This position requires on-campus presence. To locate a Texas State Technical College campus near you, visit: ****************************** Essential Functions: Champion the organization's core values of Excellence, Accountability, Service, and Integrity in all interactions with stakeholders, partners, and team members. Developing, orchestrating, and supporting ETL/ELT pipelines. Developing data integrations with ERP, SIS, LMS, CRM and other transaction systems. Analyze software requirements to determine feasibility of design within time and cost constraints. Building OLAP, virtualization and visualization and reporting software Data Integration and Collaboration: Ensure smooth integration of diverse data sources, maintaining data quality, consistency, and accessibility. Work collaboratively with data scientists, analysts, and other teams to understand and address data requirements. Performance Optimization: Monitor and optimize data systems for performance, reliability, and cost-efficiency. Implement best practices for data security, compliance, and governance. Cross-Functional Support and Collaboration: Build strong cross-functional relationships to address data-related technical issues and provide actionable insights. Partner with DevOps and IT teams to ensure seamless deployment and operation of data infrastructure. Continuous Learning and Innovation: Stay up to date with the latest cloud technologies and industry trends. Identify and propose improvements to enhance data infrastructure and processes. Perform other duties as assigned Education/Experience/Knowledge/Skills Bachelor's degree in computer science, Information Technology, Engineering, or a related field (master's degree is a plus). Demonstrated experience across multiple operating systems: Windows, Unix/Linux, Mac. Cloud computing experience with one of the leading vendors: Amazon Web Services or Microsoft Azure (preferred) Experience with data profiling, data quality, master data management, and metadata management; detail-oriented with excellent problem identification and problem-solving skills Demonstrated ability to work both independently and as part of a team; robust collaborative, proactive, interpersonal, and communication skills; ability to collaborate with a diverse group of colleagues from varying backgrounds Skilled in ETL tools and processes. Proficiency in programming languages such as SQL, Python, Java, or Scala. Experience with data modeling, data warehousing, and building data lakes. Strong SQL skills and experience with relational and NoSQL databases. Familiarity with data security and governance best practices. Perform other duties as assigned to support the business objectives and strategic goals The salary range for this position is $70,000- $80,000 annually. The final salary offer will be determined based on the candidate's qualifications and experience. Please Note: This position requires on-campus presence. To locate a Texas State Technical College campus near you, visit: ****************************** Equal Opportunity Employer Texas State Technical College (TSTC), as an equal opportunity employer, complies with all applicable federal and state laws regarding nondiscrimination. TSTC is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. Employment Eligibility Verification If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at TSTC. Background Checks A criminal history background check will be required for the finalist(s) under consideration for this position.

Responsibilities Responsible for overall architecture for our back end system Works closely with the Director of Big Data in helping to design, develop, test and maintain back end systems Provide unit tests for these software applications Participate in multi-disciplinary projects Work with analysts creating cutting edge data mining algorithms Contribute to our team's growing set of development platforms, tools, and processes Qualifications Experience with enterprise level data architecture Prior experience in Hadoop / MapReduce / Cascading / Hive / HDFS Strong Java skills Experience with large database interactions (Postgres is desired) Experience with highly scalable systems Ability to learn and apply new technologies quickly Excellent problem-solving abilities Ability to work both independently and as part of a team Ability to multi-task in a dynamic environment Excellent verbal and communication skills Experience with Impala or Spark is a plus Experience with web crawling and content indexing is a plus Experience with Python and R is a plus Experience with Agile development methodologies is a plus Qualifications Requirements Ability to work well in a flexible, dynamic small-team working environment BS in Computer Science or other technical discipline (with significant computer coursework) 10+ years of professional software experience Strong math and statistical background Experience developing applications in Java and utilizing Java platform technologies Experience development under and managing Linux systems Additional Information All your information will be kept confidential according to EEO guidelines

Responsibilities Responsible for overall architecture for our back end system Works closely with the Director of Big Data in helping to design, develop, test and maintain back end systems Provide unit tests for these software applications Participate in multi-disciplinary projects Work with analysts creating cutting edge data mining algorithms Contribute to our team's growing set of development platforms, tools, and processes Qualifications Experience with enterprise level data architecture Prior experience in Hadoop / MapReduce / Cascading / Hive / HDFS Strong Java skills Experience with large database interactions (Postgres is desired) Experience with highly scalable systems Ability to learn and apply new technologies quickly Excellent problem-solving abilities Ability to work both independently and as part of a team Ability to multi-task in a dynamic environment Excellent verbal and communication skills Experience with Impala or Spark is a plus Experience with web crawling and content indexing is a plus Experience with Python and R is a plus Experience with Agile development methodologies is a plus Qualifications Requirements Ability to work well in a flexible, dynamic small-team working environment BS in Computer Science or other technical discipline (with significant computer coursework) 10+ years of professional software experience Strong math and statistical background Experience developing applications in Java and utilizing Java platform technologies Experience development under and managing Linux systems Additional Information All your information will be kept confidential according to EEO guidelines

Where we Work Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and Türkiye. T his is an in-office position, requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays . About your skills You're a data scientist who's passionate about turning raw data into meaningful insight and action. You know that great analysis doesn't just explain what happened; it helps people understand why it matters and what to do next . You're fluent in SQL, Python and Experimentation best practices, and comfortable navigating ambiguous business problems. You thrive in cross-functional environments, especially when working closely with Product, Marketing and Engineering teams. You're equal parts technical and communicative, and the intersection of data science and storytelling excites you. You enjoy partnering with cross-functional stakeholders, and you're energized by uncovering patterns in behavior that drive real outcomes for customers. You're curious, a fast learner, and constantly thinking about how to scale your impact through automation and proactive insight. About this role This is a highly visible role that sits at the intersection of product, data science, and pricing strategy. The Principal Data Scientist, Product & Pricing Analytics will play a key role in ensuring the vibrancy of Udemy's consumer marketplace. In this role, you will work with stakeholders in Product and Marketing to drive data-informed decisions about how we price courses, measure the performance of our econometric pricing algorithms, design and execute experiments, create dashboards to drive revenue maximization efforts, and suggest strategic changes in our pricing and promotions strategy based on insights from user data. Success in this role will require a combination of strong communication and collaboration skills, sharp product sense, a customer-centric mindset, and solid technical data science skills. We are interested in building a diverse, collaborative, and fun environment. Come help us improve lives through learning! What you'll be doing Serve as the embedded product data science partner in a cross-functional team responsible for pricing and product experimentation at Udemy, including PMs, Engineers, and Marketers. Work with the team to develop a rich program of experimentation to improve the revenue performance of our consumer marketplace including metric creation, experiment design, power analysis, and analysis of experiment results. Use advanced analytics techniques (e.g., clustering, regression, forecasting) to uncover insights that shape how we serve consumer accounts. Drive data-informed decision-making within the Product and Pricing teams by equipping PMs, Marketers and Engineers with self-service analytics tools, and conducting ad hoc analyses and causal studies for the team. Measure price elasticities, average selling prices, and conversion rates in our marketplace, and use those metrics to help brainstorm potential price experiments to drive revenue gains. Work with Udemy's Pricing & Promotions team to quantify, understand, and prioritize improvements to our pricing system. Collaborate with Data Engineering to improve data pipelines and access. What you'll have Bachelor's degree in a relevant technical field, or equivalent practical experience. 6+ years of hands-on Data Science or ML Engineering experience (4+ if you have a PhD), with past work in product, customer and/or pricing analytics strongly preferred. Expert-level SQL and Python skills; experience with Databricks or similar cloud data warehouses. Broad knowledge of applied statistics, experimental design, and analysis of A/B tests. Experience working with Github and CI/CD code review processes. Experience building automated data pipelines using tools like Airflow and dbt. Exceptional data storytelling and data visualization ability. Experience with Tableau, and a strong eye for visual storytelling and usability, is a big plus. A proactive mindset with ability to translate open-ended business questions into structured analyses and actionable recommendations. Strong ownership and ability to work autonomously, while also collaborating with teams and colleagues that span global time zones. Posting Date: 10/29/2025 Application Window: We anticipate the application window will be open until 11/29/2025. Based on business needs, this opportunity may remain posted beyond or closed before the anticipated application window.