Data Engineer jobs at Safe & Civil Schools

Data Migration Consultant The Data Migration Conversion Consultant is a work from home anywhere position. Responsibilities include working with clients, team members & consultants to define, document, design, develop, test and execute legacy ERP data migrations, restructurings and merges. In addition, you will apply Full Sail Partners' Consulting project and consulting methodology. Within areas of assigned responsibility, our consultants apply analytical and technical thinking to resolve routine client issues and challenges, identify alternatives, provide recommendations, research data migration and integration issues, and provide detailed support and recommendations. Specific tasks may include source system data extraction, entity transformation, attribute translation, data validation and reconciliation, data loading, conversion testing. Conversion and load tools may include target system load utilities, consulting team tools & scripts, RDBMS system utilities, & 3rd party ETL tools. Functional experience with ERP edge concepts is required, full ERP/Accounting exposure preferred, project accounting familiarity is a bonus. Technical skill requirements include RDBMSs SQL, T-SQL, ETL processes, and familiarity with XML. Additionally, core understanding of functionality and ETL processes SQL Server, MS Access, MS Excel, SSMS or similar tools. Role and Responsibilities Utilize analytical and data services knowledge to assist companies with implementing accounting and business management technologies as well as improving their business processes Develop data migration solutions for professional services firms such as architecture, engineering, management consulting and IT Lead client facing data migration meetings Work closely with our team of application consultants and clients to create custom solutions for our clients Proactively communicate with clients and the application implementation team to achieve exceptional client satisfaction Document implementation and system related issues and participate in the collaborative resolution of these issues Understand and follow the project plan for client implementations (timeline, budget, schedule, statement of work, training plan, etc.) Qualifications Experience with relational databases (tables, view, queries, T-SQL and stored procedures) Experience with ERP systems Experience with Data Migration, merges of information as it relates to information systems Excellent communications skills, both written and verbal with the ability to interact at all levels of the organization Education, Experience and Skills Junior Level with 1-3 years of experience in SQL data management Bachelor's degree or higher in Computer Science or related discipline MS SQL T-SQL Development Preferred skills Experience in a consulting/customer advisory-type position Knowledge of Deltek Vision or Vantagepoint databases Knowledge of accounting processing a plus Familiar with QuickBooks, Ajera, Unanet (Infocus/Clearview) databases a plus SQL Server RDBMS development ETL tool development ERP application implementation and go-live experience Project planning and management capabilities

Data Engineer Direct Hire | 100% Remote We're partnering with a forward-thinking technology leader to add a Data Engineer to their growing team. This role is fully remote and offers the chance to work on high-impact, large-scale data systems with a manager who prioritizes innovation and modern engineering practices. If you love building clean, efficient data pipelines and enjoy solving complex engineering problems with Golang, this is a standout opportunity. What You'll Do Build and operationalize end-to-end data pipelines-covering ingestion, transformation, validation, optimization, and orchestration. Design and implement standardized data management processes for staging, ingestion, preparation, provisioning, and secure data destruction. Develop and maintain high-volume, high-performance data structures that support analytics, reporting, and real-time decision-making. Create and support real-time data processing applications and streaming pipelines. Ensure data integrity and quality as information moves across multiple environments. Provide input on evolving data processing, storage, and architecture needs and recommend modern solutions. Use programming tools and languages to architect, test, and maintain scalable systems. Identify opportunities for automation and improvements in data reliability, efficiency, and overall quality. Collaborate with DevSecOps for seamless CI/CD integration. What You Need to Bring Must-Haves Strong experience with Golang (non-negotiable) ETL development experience Big Data and large-scale data processing background Bachelor's degree in a quantitative or technical field 2-4 years of professional data engineering or related experience Additional Skills SQL proficiency Experience troubleshooting systems, validating data, and executing QA processes Hands-on experience with data manipulation, data mining, and cloud-based production environments Exposure to one or more programming languages: Python, Java, C#, or similar Familiarity with Microsoft SQL Server and general SQL development principles

**Graduate School of Education, Stanford, California, United States** Information Analytics Post Date Oct 16, 2025 Requisition # 107547 TheStanford Center on Early Childhood, an initiative of the Stanford Accelerator for Learning, seeks a full time Data Scientist to join the RAPID Survey Projectteam. The Data Scientist will oversee the work of a team of analysts, establishing and maintaining quality standards, reviewing outputs, and ensuring that research processes are executed with precision, consistency, and scientific rigor. Note: This position is a 1-year fixed term appointment that may be renewed based on performance and funding. This position is eligible for a remote work agreement and travel is required for convenings and events. Interested applicants should submit a resume and a cover letter describing why they are interested in this position at this stage of their career. Candidates must be eligible to work in the US. Visa sponsorship is not available for this position. **ABOUT US** Housed at Stanford Graduate School of Education, the Stanford Accelerator for Learningis the first university-wide initiative connecting scholars across disciplines and with external partners to bridge research, innovation, practice, and policy, and bring quality scalable and equitable learning experiences to all learners, throughout the lifespan. The Stanford Accelerator for Learning focuses on learning challenges most in need of new discoveries, evidence, and solutions and where we believe Stanford can make the most difference. Those include: adult & workforce learning, digital learning, early childhood education and development, equity in learning, learning differences, and policy & systems change. The Stanford Center on Early Childhood (SCEC) is an initiative of the Stanford Accelerator for Learning. The SCEC leverages the current moment of revolutionary science and fosters deep omnidirectional collaboration across sectors, seeking to change the way that research in early childhood is conducted, communicated, and utilized, with the overarching goal that each and every child thrives from the start. **POSITION SUMMARY** RAPID began as a program of two national surveys of households with children under age 6 and the child care workforce. Led by Philip Fisher, Stanford Center on Early Childhood Director, the RAPID National Survey administers monthly surveys on a rapid-cycle schedule, and has collected data from more than 20,000 households and 12,000 child care providers in all 50 states. The survey and data inform policy, advocacy, academic, parent and practitioner audiences on the experiences, challenges, and strengths of parents of young children and child care providers. The goal is to support parent- and provider-driven policies and programs that equitably and effectively serve families, providers, and young children. RAPID is now implemented in community, state, and national contexts, working in partnership with local and state organizations. The RAPID datasets are extensive and quickly growing, and include both quantitative and qualitative data. The Data Scientist will oversee analyses of all data collected by the RAPID Survey Project. The person in this role will provide oversight and guidance to the RAPID Data Analysts, help strengthen the research process, and review and ensure accuracy and quality of data products. They will guide analysts through review, reflection, and constructive feedback on analytic approaches and outputs and provide final sign-off to ensure the team's work is rigorous, reliable, and high quality. The Data Scientist will be a resource in the production of data dissemination products, such as visualizations, fact sheets, and data briefs. The Data Scientist will maintain rigorous methodological standards, review work, support analysts, and strengthen both the quality of individual products and the skills of the research team. The successful candidate will bring extensive methodological experience, technical skill with analysis tools and software, and content knowledge in early childhood development, education, policy, and/or advocacy. While this role will provide oversight and mentorship, it will not include direct supervision. The Data Scientist will work independently and with minimal supervision under the direction of the Director of the RAPID Survey Project and in collaboration with RAPID Program Managers. **Your primary responsibilities will include:** + Lead and own organization-wide data initiatives (e.g. models, frameworks, platforms, dashboards). + Guide, coach and mentor a high performing team of analysts. + Identify, leverage and partner with external stakeholders. + Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. + Determine additional data collection and reporting requirements. Design and customize reports based upon data in the database. Oversee and monitor compliance with processes that ensure high-quality data. + Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. + Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. + Serve as a resource for non-routine inquiries such as requests for statistics or surveys. + Provide documentation based on audit and reporting criteria to investigators and research staff. **To be successful in this position, you will bring:** + Bachelor's degree and five years of relevant experience or combination of education and relevant experience. + Experience in a quantitative discipline such as economics, finance, statistics or engineering. + Ability to direct the work of others, for jobs requiring supervision. + Relevant subject matter knowledge. + Substantial experience with MS Office and analytical programs. + Excellent writing and analytical skills. + Ability to prioritize workload. **Preferred Education & Experience:** + Doctoral degree or equivalent in relevant field + Content expertise in early childhood, education, policy, and/or advocacy + Advanced methodological, statistical, and analytic skills + Experience with survey research + Ability to coach and mentor analysts + Ability to work in a matrixed team environment, collaborating with peers with leadership responsibilities, senior leadership and junior team members + Flexible and creative thinking about data analysis + Experience working with large data sets + Experience working with a geographically distributed team _Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned._ **Physical Requirements*:** + Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. + Occasionally use a telephone. + Rarely writing by hand. The expected pay range for this position is$91,699 to $138,688per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. **WORK STANDARDS** : + Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. + Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. + Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide,******************************* **Why Stanford is for You** : Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture andunique perksempower you with: + Freedom to grow.We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. + A caring culture.We provide superb retirement plans, generous time-off, and family care resources. + A healthier you.Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. + Discovery and fun.Stroll through historic sculptures, trails, and museums. + Enviable resources.Enjoy free commuter programs, ridesharing incentives, discounts and more! We pride ourselves in being aculturethat encourages and empowers you. _The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned._ _Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at_ _************************_ _. For all other inquiries, please submit a_ _contact form_ _._ _Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law._ **How to Apply** : We invite you to apply for this position by clicking on the "Apply for Job" button. To be considered, you must submit a cover letter and résumé along with your online application. + _Finalist must successfully complete a background check prior to working at Stanford University._ + _This is a fixed-term position with an end date of one year and is renewable based on performance and funding_ + _Candidates must be eligible to work in the US. Visa sponsorship is not available for this position._ Additional Information + **Schedule: Full-time** + **Job Code: 4753** + **Employee Status: Fixed-Term** + **Grade: K** + **Requisition ID: 107547** + **Work Arrangement : Remote Eligible**

The Stanford Center on Early Childhood, an initiative of the Stanford Accelerator for Learning, seeks a full time Data Scientist to join the RAPID Survey Project team. The Data Scientist will oversee the work of a team of analysts, establishing and maintaining quality standards, reviewing outputs, and ensuring that research processes are executed with precision, consistency, and scientific rigor. Note: This position is a 1-year fixed term appointment that may be renewed based on performance and funding. This position is eligible for a remote work agreement and travel is required for convenings and events. Interested applicants should submit a resume and a cover letter describing why they are interested in this position at this stage of their career. Candidates must be eligible to work in the US. Visa sponsorship is not available for this position. ABOUT US Housed at Stanford Graduate School of Education, the Stanford Accelerator for Learning is the first university-wide initiative connecting scholars across disciplines and with external partners to bridge research, innovation, practice, and policy, and bring quality scalable and equitable learning experiences to all learners, throughout the lifespan. The Stanford Accelerator for Learning focuses on learning challenges most in need of new discoveries, evidence, and solutions and where we believe Stanford can make the most difference. Those include: adult & workforce learning, digital learning, early childhood education and development, equity in learning, learning differences, and policy & systems change. The Stanford Center on Early Childhood (SCEC) is an initiative of the Stanford Accelerator for Learning. The SCEC leverages the current moment of revolutionary science and fosters deep omnidirectional collaboration across sectors, seeking to change the way that research in early childhood is conducted, communicated, and utilized, with the overarching goal that each and every child thrives from the start. POSITION SUMMARY RAPID began as a program of two national surveys of households with children under age 6 and the child care workforce. Led by Philip Fisher, Stanford Center on Early Childhood Director, the RAPID National Survey administers monthly surveys on a rapid-cycle schedule, and has collected data from more than 20,000 households and 12,000 child care providers in all 50 states. The survey and data inform policy, advocacy, academic, parent and practitioner audiences on the experiences, challenges, and strengths of parents of young children and child care providers. The goal is to support parent- and provider-driven policies and programs that equitably and effectively serve families, providers, and young children. RAPID is now implemented in community, state, and national contexts, working in partnership with local and state organizations. The RAPID datasets are extensive and quickly growing, and include both quantitative and qualitative data. The Data Scientist will oversee analyses of all data collected by the RAPID Survey Project. The person in this role will provide oversight and guidance to the RAPID Data Analysts, help strengthen the research process, and review and ensure accuracy and quality of data products. They will guide analysts through review, reflection, and constructive feedback on analytic approaches and outputs and provide final sign-off to ensure the team's work is rigorous, reliable, and high quality. The Data Scientist will be a resource in the production of data dissemination products, such as visualizations, fact sheets, and data briefs. The Data Scientist will maintain rigorous methodological standards, review work, support analysts, and strengthen both the quality of individual products and the skills of the research team. The successful candidate will bring extensive methodological experience, technical skill with analysis tools and software, and content knowledge in early childhood development, education, policy, and/or advocacy. While this role will provide oversight and mentorship, it will not include direct supervision. The Data Scientist will work independently and with minimal supervision under the direction of the Director of the RAPID Survey Project and in collaboration with RAPID Program Managers. Your primary responsibilities will include: * Lead and own organization-wide data initiatives (e.g. models, frameworks, platforms, dashboards). * Guide, coach and mentor a high performing team of analysts. * Identify, leverage and partner with external stakeholders. * Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. * Determine additional data collection and reporting requirements. Design and customize reports based upon data in the database. Oversee and monitor compliance with processes that ensure high-quality data. * Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. * Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. * Serve as a resource for non-routine inquiries such as requests for statistics or surveys. * Provide documentation based on audit and reporting criteria to investigators and research staff. To be successful in this position, you will bring: * Bachelor's degree and five years of relevant experience or combination of education and relevant experience. * Experience in a quantitative discipline such as economics, finance, statistics or engineering. * Ability to direct the work of others, for jobs requiring supervision. * Relevant subject matter knowledge. * Substantial experience with MS Office and analytical programs. * Excellent writing and analytical skills. * Ability to prioritize workload. Preferred Education & Experience: * Doctoral degree or equivalent in relevant field * Content expertise in early childhood, education, policy, and/or advocacy * Advanced methodological, statistical, and analytic skills * Experience with survey research * Ability to coach and mentor analysts * Ability to work in a matrixed team environment, collaborating with peers with leadership responsibilities, senior leadership and junior team members * Flexible and creative thinking about data analysis * Experience working with large data sets * Experience working with a geographically distributed team Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Physical Requirements*: * Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. * Occasionally use a telephone. * Rarely writing by hand. The expected pay range for this position is $91,699 to $138,688 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. WORK STANDARDS: * Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. * Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. * Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, ******************************* Why Stanford is for You: Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: * Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. * A caring culture. We provide superb retirement plans, generous time-off, and family care resources. * A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. * Discovery and fun. Stroll through historic sculptures, trails, and museums. * Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more! We pride ourselves in being a culture that encourages and empowers you. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at ************************. For all other inquiries, please submit a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. How to Apply: We invite you to apply for this position by clicking on the "Apply for Job" button. To be considered, you must submit a cover letter and résumé along with your online application. * Finalist must successfully complete a background check prior to working at Stanford University. * This is a fixed-term position with an end date of one year and is renewable based on performance and funding * Candidates must be eligible to work in the US. Visa sponsorship is not available for this position. Additional Information * Schedule: Full-time * Job Code: 4753 * Employee Status: Fixed-Term * Grade: K * Requisition ID: 107547 * Work Arrangement : Remote Eligible

Our client is seeking a Data Scientists to perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities. Candidate has advanced expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods and the mathematical theories underlying these tools used to analyze data. Has advanced knowledge of healthcare data types, topics, and scientific challenges and approaches. Key Responsibilities: May work with knowledge architects, informaticians and clinicians at client, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care. Applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI as required. May develop predictive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, operations research, machine learning, or data mining techniques. May provide consultative services at an enterprise level to departments/divisions and/or support scientific projects under the supervision of a designated senior level data scientist. Provides advanced data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data. Has advanced expertise in the methods used to analyze data and advanced knowledge of data types, topics, and scientific challenges and approaches. Will work with other staff in developing data analysis tools and predictive models, using advanced data analysis techniques and artificial intelligence and machine learning. Participates in discovery processes with stakeholders to identify the business requirements and the expected outcome. Leads the interpretation of data analysis and writing reports. Position Requirements: The successful candidate will need to have both technical and business background/experience along with strong leadership skills. Good written and oral communication skills are required. Expertise in the use of scientific computing and data management packages. Ability to prioritize, organize, and delegate various tasks on projects. Demonstrated initiative in administration, education (seminars, training), software development, and technical reports. Demonstrated success in project management and communication skills. Demonstrated ability to develop predictive and prescriptive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, project management methods, and analytical tools and methodologies (e.g., machine learning, statistical packages, modeling, etc.) required. Ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Strong interpersonal skills to include presentation, negotiation, persuasion, and written communications skills are required. Strong time management skills are required. Requires strong analytical skills, consulting skills, ability to identify and recommend solutions, advanced computer application skills, and a commitment to customer service. Experience with data modeling and data exploration tools. Preferred Skill: Demonstrated ability to provide consultative services to departments/divisions and committees from any Mayo entity requesting assistance. Education Requirements: Bachelor's degree in relevant fields such as engineering, mathematics, computer science, or health science. Preferred education - PhD in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field with three (3) years of experience. Additional Information: Fully Remote W2 Candidates Only Who We Are We are a software company that strives to build relationships through the delivery of software and solutions. Agile software development is at the heart of "how we work", which allows us to bring people together for strong collaboration and problem solving. What We Do We provide enterprise-level agile coaching and development services. The Da Vinci Agile Coaching model is built on four pillars that ensure successful adoption and scale across an organization. The enterprise framework we have built supports this foundation through recognition of, and integration with, legacy processes. We passionately believe "how we work" is the intangible our developers demonstrate for our clients every day. Our high-performing team members provide leadership and chemistry on your teams. We provide architects, developers and testers that enjoy accountability, team success and delivering meaningful products.

About Us Wizard is the top-performing AI Shopping Agent, delivering the best products from across the web with unmatched accuracy, quality, and trust. The Role We are seeking a Staff Data Engineer with deep expertise in PySpark to join our data team. This is a hands-on technical role for someone passionate about building scalable data systems, mentoring engineers and shaping data strategy. You'll architect systems that power high performance batch and real time data processing, enable advanced analytics and accelerate our AI initiatives. Key Responsibilities: Design and evolve scalable, distributed data infrastructure across cloud platforms Build and maintain real time and batch data processing pipelines supporting analytics and AI/ML workloads Develop and manage integrations with third party e-commerce platforms to expand our data ecosystem Ensure data availability, reliability and quality through monitoring and automated auditing Partner with engineering, AI and product teams on data solutions for business critical needs Mentor and support data engineers, establishing best practices and code quality standards You 5+ years of software development and data engineering experience with demonstrated ownership of production grade data infrastructure Bachelor's degree in Computer Science or a related field, or equivalent practical experience. Deep expertise scaling Spark in production (Databricks, EMR, etc) Strong understanding of distributed computing and modern data modeling for scalable systems Proficient in Python with experience implementing software engineering best practices Hands-on experience with both relational (MySQL / PostgreSQL) and NoSQL (MongoDB, DynamoDB, Cassandra) databases Strong communicator with experience influencing cross functional stakeholders Nice to Have: Experience working in early-stage, high-growth environments Familiarity with MLOps pipelines and integrating ML models into data workflows. Passionate about problem-solving with a proactive approach to finding innovative solutions. The expected salary for this role is $208,000 - $235,000 depending on experience and level

IT@JH Office of Deputy CIO is seeking a Data Engineer II who is responsible for the data architecture and integration of university processes, systems and data to improve reporting and analytics across functions, offices and schools. This includes the architecture, design and implementation of infrastructure and operations for the University Data Warehouse (UDW), complementary Lakehouse, and other modern data technologies. Specific Duties & Responsibilities * Contribute to the design, production, and maintenance of data pipelines for data acquisition, management, transformation, and back-end code development to power data web applications and convert raw data into usable information. * Write and maintain ETL/ELTs that operate on a variety of structured and unstructured sources. * Develop and maintain web data scraping systems for automatic data acquisition. * Help design data architecture and provide ongoing support. * Input/output data from databases and perform queries. * Create scripts to clean, transform, and analyze data. * Put data pipelines into production using data warehousing systems. * Create and implement production software to monitor data quality and detect data anomalies. * Perform daily manual data quality assurance tasks. * Support, maintain, and troubleshoot the software infrastructure. * Source data, conduct analyses, visualize data, and generate insights to support ongoing research projects and other requests across the organization. * Collaborate with developers, analysts, data scientists, researchers, policy experts, and other partners. * Communicate with Division leadership, and others on the team. * Collaborate with external partners, contractors, and vendors. * Other duties as assigned. On-Call Rotation * This position requires a support rotation, which may entail some off-hour support. Minimum Qualifications * Bachelor's Degree. * Five years of related work experience focused within database management and design and business requirement gathering. * Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Preferred Qualifications * Five years of progressive responsibility for data architecture in complex environment, extensive experience with relational, analytic, and other primary data and BI development approaches. * Implementation and support experience with large-scale real-time and batch ETL/ELT for data ingestion and integration. * Experience in dimensional modeling, student systems and information, APIs, advanced SQL, Power BI, Fabric, Azure, pipelines. Technical Skills & Expected Level of Proficiency * Data Management and Analysis - Intermediate * Data Pipeline Architecture & ETL/ELT Development - Intermediate * Database Querying - Intermediate * Data Validation and Quality Assurance - Intermediate * Data Visualization - Intermediate * Data Warehousing & Architecture - Intermediate * Oral and written communications - Intermediate * Programming Languages - Intermediate * Web Scraping and Data Acquisition - Intermediate Classified Title: Data Engineer II Role/Level/Range: ATP/04/PG Starting Salary Range: $99,800 - $175,000 Annually (Commensurate w/exp.) Employee group: Full Time Schedule: Mon-Fri, 8:30am-5pm FLSA Status: Exempt Location: Remote Department name: IT@JH Office of the Deputy CIO Personnel area: University Administration

IT@JH Office of Deputy CIO is seeking a **_Data Engineer II_** who is responsible for the data architecture and integration of university processes, systems and data to improve reporting and analytics across functions, offices and schools. This includes the architecture, design and implementation of infrastructure and operations for the University Data Warehouse (UDW), complementary Lakehouse, and other modern data technologies. **Specific Duties & Responsibilities** + Contribute to the design, production, and maintenance of data pipelines for data acquisition, management, transformation, and back-end code development to power data web applications and convert raw data into usable information. + Write and maintain ETL/ELTs that operate on a variety of structured and unstructured sources. + Develop and maintain web data scraping systems for automatic data acquisition. + Help design data architecture and provide ongoing support. + Input/output data from databases and perform queries. + Create scripts to clean, transform, and analyze data. + Put data pipelines into production using data warehousing systems. + Create and implement production software to monitor data quality and detect data anomalies. + Perform daily manual data quality assurance tasks. + Support, maintain, and troubleshoot the software infrastructure. + Source data, conduct analyses, visualize data, and generate insights to support ongoing research projects and other requests across the organization. + Collaborate with developers, analysts, data scientists, researchers, policy experts, and other partners. + Communicate with Division leadership, and others on the team. + Collaborate with external partners, contractors, and vendors. + Other duties as assigned. **On-Call Rotation** + This position requires a support rotation, which may entail some off-hour support. **Minimum Qualifications** + Bachelor's Degree. + Five years of related work experience focused within database management and design and business requirement gathering. + Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. **Preferred Qualifications** + Five years of progressive responsibility for data architecture in complex environment, extensive experience with relational, analytic, and other primary data and BI development approaches. + Implementation and support experience with large-scale real-time and batch ETL/ELT for data ingestion and integration. + Experience in dimensional modeling, student systems and information, APIs, advanced SQL, Power BI, Fabric, Azure, pipelines. **Technical Skills & Expected Level of Proficiency** + Data Management and Analysis - Intermediate + Data Pipeline Architecture & ETL/ELT Development - Intermediate + Database Querying - Intermediate + Data Validation and Quality Assurance - Intermediate + Data Visualization - Intermediate + Data Warehousing & Architecture - Intermediate + Oral and written communications - Intermediate + Programming Languages - Intermediate + Web Scraping and Data Acquisition - Intermediate Classified Title: Data Engineer II Role/Level/Range: ATP/04/PG Starting Salary Range: $99,800 - $175,000 Annually (Commensurate w/exp.) Employee group: Full Time Schedule: Mon-Fri, 8:30am-5pm FLSA Status: Exempt Location: Remote Department name: IT@JH Office of the Deputy CIO Personnel area: University Administration Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

The Pathology Department is seeking a Data Engineer I - Pathology who will assist with the creation and maintenance of complex data pipelines from raw acquisition of data to visualization. The Data Engineer I will support the design, production, and maintenance of software infrastructure to automatically extract, transform, and load data from diverse sources. The Data Engineer I will help input/output data from databases and realize complex queries. The Data Engineer I will support the creation of scripts for data manipulation, cleaning, filtering, and preparation of data outputs to be used for data visualization or web display. This will also include creating parts of systems to monitor and guarantee data quality, perform daily data quality assurance tasks, maintain, and troubleshoot the infrastructure, and audit data sources. The Data Engineer I will help explore and analyze data to answer policy-related questions as needed. Specific Duties & Responsibilities * Assist with the design, production, and maintenance of data pipelines for data acquisition, management, and transformation, and back-end code development to power data web applications and convert raw data into usable information. * Contribute to writing and maintenance of ETL/ELTs that operate on a variety of structured and unstructured sources. * Assist with the development and maintenance of web data scraping systems for automatic data acquisition. * Assist design data architecture and provide ongoing support. * Assist with input/output data from databases and perform queries. * Assist in the creation scripts to clean, transform, and analyze data. * Contribute to production data pipelines using data warehousing systems. * Create and implement production software to monitor data quality and detect data anomalies. * Perform daily manual data quality assurance tasks. * Support, maintain, and troubleshoot the software infrastructure. * Source data, conduct analyses, visualize data, and generate insights to support ongoing research projects and other requests across the organization. * Assist developers, analysts, data scientists, researchers, policy experts, and other partners. * Communicate with Division leadership, and others on the team. * Collaborate with external partners, contractors, and vendors. * Other duties as assigned. Minimum Qualifications * Bachelor's Degree. * Three years of related experience. * Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Preferred Qualifications Technical Skills and Expected Level of Proficiency * Data Pipeline Architecture & ETL/ELT Development - Intermediate * Database Querying - Intermediate * Data Tools and Platforms - Intermediate * Data Validation and Quality Assurance - Intermediate * Data Warehousing & Architecture - Intermediate * Project Management - Intermediate * Programming Languages - Intermediate * Troubleshooting - Intermediate * Web Scraping and Data Acquisition - Intermediate The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs. Classified Title: Data Engineer I Job Posting Title (Working Title): Data Engineer I - Pathology (Pat. Molecular Diagnostics Lab) Role/Level/Range: ATP/04/PG Starting Salary Range: $85,500 - $149,800 Annually ($87,000 targeted; Commensurate w/exp.) Employee group: Full Time Schedule: Monday-Friday 8:30am-5pm FLSA Status: Exempt Location: School of Medicine Campus Department name: SOM Pat Molecular Diagnostics Lab Personnel area: School of Medicine

The Pathology Department is seeking a **_Data Engineer I_** **_- Pathology_** who will assist with the creation and maintenance of complex data pipelines from raw acquisition of data to visualization. The Data Engineer I will support the design, production, and maintenance of software infrastructure to automatically extract, transform, and load data from diverse sources. The Data Engineer I will help input/output data from databases and realize complex queries. The Data Engineer I will support the creation of scripts for data manipulation, cleaning, filtering, and preparation of data outputs to be used for data visualization or web display. This will also include creating parts of systems to monitor and guarantee data quality, perform daily data quality assurance tasks, maintain, and troubleshoot the infrastructure, and audit data sources. The Data Engineer I will help explore and analyze data to answer policy-related questions as needed. **Specific Duties & Responsibilities** + Assist with the design, production, and maintenance of data pipelines for data acquisition, management, and transformation, and back-end code development to power data web applications and convert raw data into usable information. + Contribute to writing and maintenance of ETL/ELTs that operate on a variety of structured and unstructured sources. + Assist with the development and maintenance of web data scraping systems for automatic data acquisition. + Assist design data architecture and provide ongoing support. + Assist with input/output data from databases and perform queries. + Assist in the creation scripts to clean, transform, and analyze data. + Contribute to production data pipelines using data warehousing systems. + Create and implement production software to monitor data quality and detect data anomalies. + Perform daily manual data quality assurance tasks. + Support, maintain, and troubleshoot the software infrastructure. + Source data, conduct analyses, visualize data, and generate insights to support ongoing research projects and other requests across the organization. + Assist developers, analysts, data scientists, researchers, policy experts, and other partners. + Communicate with Division leadership, and others on the team. + Collaborate with external partners, contractors, and vendors. + Other duties as assigned. **Minimum Qualifications** + Bachelor's Degree. + Three years of related experience. + Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. **Preferred Qualifications** **Technical Skills and Expected Level of Proficiency** + Data Pipeline Architecture & ETL/ELT Development - Intermediate + Database Querying - Intermediate + Data Tools and Platforms - Intermediate + Data Validation and Quality Assurance - Intermediate + Data Warehousing & Architecture - Intermediate + Project Management - Intermediate + Programming Languages - Intermediate + Troubleshooting - Intermediate + Web Scraping and Data Acquisition - Intermediate _The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs._ Classified Title: Data Engineer I Job Posting Title (Working Title): Data Engineer I - Pathology (Pat. Molecular Diagnostics Lab) Role/Level/Range: ATP/04/PG Starting Salary Range: $85,500 - $149,800 Annually ($87,000 targeted; Commensurate w/exp.) Employee group: Full Time Schedule: Monday-Friday 8:30am-5pm FLSA Status: Exempt Location: School of Medicine Campus Department name: SOM Pat Molecular Diagnostics Lab Personnel area: School of Medicine Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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 Finance/HCM/Ops Contract Months:12 Salary Range: $84,127.00 - $138,810.00 Academic Year: 25-26 The Engineer - Strategic Data Intelligence supports the development and maintenance of data pipelines, datasets, and dashboards used across HISD's ERP domains. This role works with data from Oracle Fusion, SAP, and related enterprise systems to ensure that reports are timely, accurate, and aligned with operational needs. The Engineer collaborates with senior staff and analysts to deliver visualizations and data sets in Microsoft Fabric and Power BI, supporting districtwide decision-making. MAJOR DUTIES & RESPONSIBILITIES 1. Build and maintain data flows between enterprise systems and Microsoft Fabric. 2. Support the development and publishing of datasets and reports in Power BI. 3. Work with stakeholders to clarify business requirements and translate them into technical specifications. 4. Perform data validation, formatting, and cleansing to ensure accuracy and consistency. 5 Monitor data refreshes and troubleshoot technical issues. MAJOR DUTIES & RESPONSIBILITIES CONTINUED 6. Document logic, formulas, and source systems used in each report or dashboard. 7. Support historical reporting and reconciliation efforts during ERP transition periods. 8. Assist with user access, workspace permissions, and role-level security in Power BI. 9. Participate in testing new datasets, visuals, and platform features. 10 Perform other job-related duties as assigned. EDUCATION Bachelor's degree in data analytics, computer science, or a related field required. WORK EXPERIENCE Minimum of 3 years of experience in data reporting, analytics, or engineering. Familiarity with ERP systems and Power BI required. Experience with Microsoft Fabric a plus. SKILL AND/OR REQUIRED LICENSING/CERTIFICATION * Working knowledge of SQL, DAX, and data transformation tools * Experience building and supporting Power BI datasets and reports * Familiarity with data pipeline tools such as Azure Data Factory * Understanding of data quality, data governance, and user access principles * Strong collaboration and documentation skills * Certifications in Power BI or Microsoft data platforms preferred LEADERSHIP RESPONSIBILITIES Works independently under the guidance of senior engineers or architects. May coordinate assigned tasks or support user-facing efforts. WORK COMPLEXITY/INDEPENDENT JUDGMENT Resolves standard technical and data challenges independently. Seeks direction for complex modeling or system design tasks. BUDGET AUTHORITY None. PROBLEM SOLVING Troubleshoots refresh failures, mismatched data, and formula issues. Suggests process improvements to enhance data workflows. IMPACT OF DECISIONS Supports frontline operational reports. Errors may impact school budgets, staffing reports, or compliance dashboards. COMMUNICATION/INTERACTIONS Collaborates with analysts, data users, and platform administrators. Participates in user training or feedback loops. CUSTOMER RELATIONSHIPS Supports internal customers by delivering clear, timely data solutions that meet departmental needs. WORKING/ENVIRONMENTAL CONDITIONS Office-based or hybrid. May require extra hours during critical reporting windows or ERP data transitions. Houston Independent School District is an equal opportunity employer.

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.

Job Posting Title: RESA III - Geoscience Data and Collections Engineer/Geoscientist * --- Hiring Department: Bureau of Economic Geology * --- All Applicants * --- Weekly Scheduled Hours: 40 * --- FLSA Status: Exempt * --- * --- Position Duration: Expected to Continue * --- Location: PICKLE RESEARCH CAMPUS * --- Job Details: General Notes The Resource Center at the Bureau of Economic Geology (Bureau) houses an extensive archive of geologic information dating back to the 1870s. This collection includes print and digital records of geological and geophysical data such as maps, well logs, engineering and geologic reports, photographs, field notes, and samples. Many of these materials are original works by Bureau researchers and other geoscientists who have contributed their collections over the years. In addition, the Bureau houses an extensive core collection comprising more than 2 million boxes of core and other sample materials from various geographic locations across the United States, as well as a few international locations. The collection is maintained at two core facilities located in Austin and Houston. This position is in-person at the J.J. Pickle Research Campus in North Austin. Purpose The Bureau of Economic Geology is seeking a highly motivated and technically skilled Geoscience Data and Collections Engineer/Geoscientist to lead the design, implementation, and maintenance of systems for cataloging and managing the Bureau's archive collections and physical rock materials (core, cuttings, thin sections and rock samples) and associated well and subsurface data, including paper logs, reports, etc. This role requires a unique combination of geoscience knowledge and data science expertise to support the long-term preservation, accessibility, and usability of one of the largest geologic collections in the world. Responsibilities * Process, organize, and describe physical and digital archival collections, including maps, field notes, photographs, unpublished reports, and a wide range of geological and geophysical data types. * Design and maintain robust digital systems for cataloging and managing geological archive records, samples and associated metadata. * Collaborate with geoscientists, IT staff, and collection managers to ensure data integrity, accessibility, and scalability. * Develop and implement workflows for digitizing, tagging, and integrating archive records, paper logs and other analog records. * Lead efforts to modernize legacy data systems and migrate data to new platforms as needed. * Ensure compliance with data standards and best practices in geoscience informatics. * Provide technical support and training to staff and researchers using the collections database. * Contribute to strategic planning for long-term data stewardship and digital infrastructure. * Provides research support by facilitating access to archival records for scholars, scientists, and the public, supporting research initiatives, and public engagement with institutional resources. * Supports Bureau researchers and donors in the submission and integration of new archival records, ensuring accurate documentation and incorporation into the existing archive. * Collaborates with the Resource Center Manager, Resource Center System Specialist, and researchers to enhance the Bureau's archival database. Required Qualifications * Bachelor's degree in Geoscience, Earth Sciences or equivalent with four years of experience and a Master's degree in Geosciences, Geoinformatics, or Data Science with two years of experience * Strong understanding of geological sample types and well data (e.g., cores, cuttings, thin sections, and well-logs). * Experience with database design, data modeling, and data management systems. * Proficiency in programming or scripting languages (e.g., Python, SQL) for data handling and automation. * Familiarity with GIS, metadata standards, and digital archiving best practices. * Excellent problem-solving skills and ability to work independently and collaboratively. * Ability to interact with others in a respectful, patient, and friendly manner when working with staff and visitors. * Occasional travel for work * The applicant for the job should have a valid Texas driver's license and a good driving record and should take the UT-mandated online driver training modules to remain authorized to drive Bureau vehicles. Preferred Qualifications * Library science training and/or archive experience * Experience working with geological collections or in a research repository environment. * Knowledge of cloud-based data storage and management solutions. * Experience with data visualization tools and dashboards. * Familiarity with academic or government research environments Salary Range $60,000+ depending on qualifications Working Conditions * May work around standard office conditions * Repetitive use of a keyboard at a workstation * Use of manual dexterity * Climbing of stairs * Climbing of ladders * Lifting and moving * Occasional weekend, overtime, and evening work to meet deadline Required Materials * Resume/CV * 3 work references with their contact information * Letter of interest * --- 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.

PSI Pax is an Economically Disadvantaged Woman-Owned Small Business (EDWOSB) Headquartered in Patuxent River, MD. We are recognized as key contributors to our DOD Customer's mission specializing in Information Technology, enterprise resource planning, business and financial management, acquisition, and logistics. PSI Pax is at the forefront of innovation in supporting our DOD customer's complex requirements. We help our customers nationwide coordinate services across their enterprises, enhance efficiency through process improvement, and delivering quality services within cost and on schedule. PSI Pax, Inc has an exciting opportunity for an experienced Data Scientist with experience in data visualization software, mathematical modeling, data sharing and collaboration to support Remotely our customers located in St. Inigoes, MD. Duties and Responsibilities: In support of our NAWCAD customers, the PSI Pax Data Scientist will develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. The analyst will apply: * Data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. * Visualize, interpret, and report data findings to create dynamic data reports and dashboards, and work collaboratively with stakeholders to investigate, analyze, and use predictive modeling to inform data decisions. Specific duties include: * Mine and analyze data from various databases to drive optimization and improvement of decision support. * Assess the effectiveness and accuracy of new data sources and data gathering techniques. * Develop custom data models and algorithms to apply to data sets. * Use predictive modeling to increase and optimize customer experiences and operational outcomes. * Coordinate with different functional teams to implement models and monitor outcomes. * Develop processes and tools to monitor and analyze model performance and data accuracy. * Applies analytic techniques in the evaluation of project objectives and contributes to the implementation of strategic direction. * Performs analyst functions including data collection, interviewing, data modeling, project testing, and creation of performance measurements to support project objectives. * A senior level person typically works on high-visibility, or mission-critical aspects of a given program and performs all functional duties independently. * A senior level person may oversee the efforts of less senior staff and/or be responsible for the efforts of all staff assigned to a specific job. Qualifications: * At least ten (10) years relevant experience successfully working with stakeholders to investigate, analyze, plan, design, develop, implement, or evaluate solutions. Proven ability to develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. .Of the required 10 years of experience, at least four years' experience must be in data visualization software. * Secret Clearance. Candidate selected will be subject to a government background investigation and must meet eligibility requirements for access to classified information. * MS Office Suite proficiency * Data visualization software proficiency (Qlik, PowerBI) Education Requirements: * Master's degree * Bachelor's degree plus four (4) years of additional work experience related to the applicable job functions may be substituted for a master's degree. PSI Pax, Inc. is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, marital status, disability, veteran status, sexual orientation, or genetic information. PSI Pax, Inc. is an E-Verify Participant.

Get Set for Cumberlands! Join our team of student-focused individuals working together in order to encourage intellectual and spiritual growth, leadership and service. CURRENT STUDENT or EMPLOYEE? Please log into Workday and use the Career Tile to find and apply to jobs from our internal career sites. The Data Engineer performs duties under the general supervision of the Director of Enterprise Applications and Development, working independently and collaboratively to support the University's enterprise data infrastructure. This position plays a lead role in building and maintaining the Snowflake data warehouse environment, designing scalable ETL pipelines, and ensuring secure, efficient access to institutional data. The Data Engineer will collaborate closely with software engineers, institutional research, and the Office of Innovation and Enhancement to deliver reliable data solutions that support analytics, reporting, and strategic decision-making across the University. Key Responsibilities: Design, develop, and optimize scalable data pipelines and integrations using Snowflake as the primary data warehouse. Build and maintain ETL/ELT processes to ingest and transform data from various sources, including SQL Server, Workday, and cloud-based services. Implement and enforce data modeling, schema design, and performance best practices in Snowflake. Manage Snowflake security, role-based access controls, and data governance in compliance with FERPA and institutional policy. Automate data workflows using Python and Azure-based services. Collaborate with data consumers (e.g., Power BI developers, institutional research) to ensure data is accurate, timely, and usable. Monitor and troubleshoot Snowflake environments, optimize query performance, and resolve data pipeline issues. Document system architecture, data flows, and technical configurations. Evaluate emerging Snowflake features and ecosystem tools to improve scalability, automation, and maintainability. Perform other duties as assigned. Requirements: To perform this FLSA-exempt position successfully, an individual must have the skills and experience necessary to execute each of the tasks listed in the Responsibilities section. Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a closely related field. Minimum of 3 years of hands-on experience administering and managing a Snowflake environment, including configuration, optimization, and security. Proficiency in building and managing Snowflake environments, including data loading, transformation (Snowflake SQL, Streams, Tasks), and security management. Strong experience developing ETL/ELT solutions, integrating cloud and on-prem data sources. Solid SQL skills and hands-on experience with Microsoft SQL Server. Experience using Python for data transformation, orchestration, and automation. Familiarity with Workday reporting data or similar ERP/SaaS data platforms is preferred. Working knowledge of cloud environments, especially Azure. Experience supporting business intelligence solutions using tools like Power BI. Understanding of data governance and security frameworks, including FERPA compliance. Strong collaboration and documentation skills; ability to work across technical and non-technical teams. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation and Benefits Compensation commensurate with experience and qualifications. Health, dental, and vision insurance Retirement plan options Tuition remission Generous vacation and leave policies Professional development support Job Type Full-time, administrative Location Remote, with occasional travel to main campus (Williamsburg, KY) as needed Cumberlands is different by design. Our employees exemplify our motto in the pursuit of a “life-more-abundant.”

🕒 Work Hours: 8:00 AM to 5:00 PM, Monday through Friday 💲 Salary Range: $60,000 - $80,000 per year Make the Right Connection-Build Your Career with Dixon! Are you a highly motivated and experienced Data Engineer ready to build the next generation of data infrastructure that powers critical business decisions? The Dixon Group is looking for a Data Engineer to join our Data Team in Chestertown, MD! In this role, you will take ownership of identifying, developing, and optimizing robust, scalable ETL/ELT solutions for internal and external data sources. In this high-impact role, you will be crucial in ensuring that our data is clean, reliable, and accessible for advanced analysis and decision-making across the company. You'll move beyond simple maintenance, leveraging T-SQL, Python (Pandas), SSIS, and REST APIs to automate repeatable data processes and continuously enhance performance. The Dixon Group is a global, family-owned manufacturing company with a history of over 100 years of operation in the U.S.A. Based in Chestertown, Maryland, with distribution centers located worldwide. The company has a diverse workforce and a strong values-based culture. As an innovator in the hose coupling industry, our mission is to provide real solutions for our customers while fostering a supportive and collaborative work environment. At The Dixon Group, we value the contributions of our Military Veterans and proudly employ our nation's heroes. Veterans are strongly encouraged to apply. 📊 What You'll Do: Use various tools and methods to automate repeatable ETL processes using a combination of SSIS, T-SQL, Python and REST APIs. Use SSMS and T-SQL to develop complex queries and data sources to deliver comprehensive data sets from multiple sources. Write SQL queries and stored procedures to support internal Dixon applications. Assist Business Intelligence Engineers with back end query writing. Conduct data verification and validation for team members. Performance tune ETL and report processes and queries Develop algorithms to find insights from various data analysis techniques to include statistical analysis and Machine Learning processes. As a member of the Data Team, the ideal candidate will be able to assist Database Administrators with physical DBA tasks such as backup and restore, query tuning, encryption, auditing and regular maintenance. Effectively communicate with technical and non-technical team members. 🎯 What We're Looking For: A Bachelor's degree in a quantitative field such as Data Analytics, Mathematics, Applied Mathematics, Information Systems, Business, or Economics, or a closely related technical field, is a mandatory prerequisite for this job role. 5-10 years of experience in a Data Engineer, Data Science or Business Analytics role. Experience in manufacturing or distribution industries preferred. T-SQL Expertise: Ability to develop and optimize complex T-SQL queries and data sources for multi-source data sets. Python Proficiency: Strong experience with Python, especially Pandas and other ETL libraries. Familiarity with Machine Learning libraries: Matplotlib, SciKit-Learn, Keras, and TensorFlow. Data Tool Mastery: Highly skilled in Tableau/Power BI, SSRS/Crystal Reports, SSMS, Excel, and Access. Knowledge of core data concepts: Database design, ETL, and data warehousing. Experience with version control (e.g., TFS/Visual Studio). Critical Thinking: Strong problem-solving skills to navigate complex data challenges. Communication: Excellent written and verbal communication skills. Adaptability: Highly organized, detailed, and able to adapt quickly to shifting priorities. Proactive & Team-Oriented: Self-motivated team player with a positive attitude, professionalism, and a commitment to customer service and collaboration. Familiarity with manufacturing and/or distribution processes preferred. 🌟 What We Offer: Medical, dental, and vision insurance for you and your family Competitive salary Bonus programs 401K retirement plan Training opportunities Tuition reimbursement Paid vacation, PTO, and holidays Gym reimbursements, and more! Join us and be a part of a team that values your contributions and supports your goals! The Dixon Group is an equal opportunity employer. It is the Company's policy and practice to recruit, hire, train, and promote individuals, as well as to administer all personnel actions, compensation, and benefits, without regard to race, religion, color, sex (including pregnancy, childbirth, and related medical conditions), gender identity or expression, sexual orientation, marital status, ancestry or national origin, age, disability, family medical history or genetic information, veteran status, military service, or any other factors protected by applicable law. This policy extends to all employees and applicants and to all aspects of the employment relationship. The Dixon Group is committed to protecting the privacy rights of its employees and job applicants to the fullest extent required by applicable law. To that end, personal information will be collected solely for those legitimate business purposes recognized by law, and then maintained in a manner consistent with all applicable laws and regulations pertaining to document retention requirements. The Dixon Group does not sell personal information to third parties, and does not share such personal information with third parties except when authorized by law to do so (e.g., in response to a lawful subpoena; mandatory tax reporting; etc.)

Senior Data Engineer - (25000366) Description The Senior Data Engineer is responsible for designing, developing, and operationalizing advanced cloud data pipelines to facilitate seamless data consumption for reports, advanced analytics, and AI initiatives. This role involves overseeing the entire data lifecycle, including data ingestion, transformation, validation, and quality assurance. The Senior Data Engineer ensures the optimization and orchestration of data pipelines to handle high-volume and high-performance requirements effectively. Additionally, this role leads efforts in Continuous Integration and Continuous Deployment (CI/CD), driving automation and deployment efficiency. The Senior Data Engineer collaborates with cross-functional teams to align data solutions with business needs, provide strategic insights, and mentor junior team members, all while upholding best practices and ensuring data integrity. Qualifications Minimum EducationBachelor's Degree A Bachelor's degree in a quantitative or business field (e. g. , Statistics, Mathematics, Engineering, Computer Science). (Required) Minimum Work Experience6 years Requires deep functional knowledge with 6+ years of related experience or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. (Required) Required Skills/KnowledgeExperience with big data; data processing and cloud technologies. Strong experience diagnosing system issues, engaging in data validation, and providing quality assurance testing. Experience with data manipulation; Data mining. Experience working in production cloud infrastructure. Experience with C# (programming language); Java (programming language); Programming concepts; Programming tools; Python (Programming Language); SQL (programming language). Knowledge of Microsoft Azure; Databricks or equivalent. Seeks to acquire knowledge in area of specialty. Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions. Ability to work independently. Demonstrated analytical skills. Demonstrated project management skills. Demonstrates a high level of accuracy, even under pressure. Demonstrates excellent judgment and decision-making skills. Great verbal and written communication skills, communicate complex findings in a clear and understandable manner Great facilitation ability to host sessions and elicit ideas from others, understanding their issues and encourage group participation Attention to detail. Communicate complex findings in a clear and understandable manner Collaborate effectively with cross-functional teams Adapt to changing priorities and thrive in a dynamic environment Functional AccountabilitiesHelps guide the design and implementation of complex data management procedures around data staging, data ingestion, data preparation, data provisioning, data destruction, (scripts, programs automation, assisted by automation etc. ) Provides guidance to data engineering in the design, development, implementation, testing, documentation, and preparation of large scale, high volume, high performance data structures for business intelligence analysts. Designs, develops and maintains real time processing applications and real time data pipelines. Ensure quality of technical solutions as data moves across environments. Provides senior level knowledge and insight into the changing cloud data environment, data processing, data storage, and utilization requirements for the company and drives the team toward viable solutions. Develops, constructs, tests, and maintains architectures using advanced programming languages and tools. Drives ways to improve data reliability, efficiency, and quality and deploys a solution; use data to discover tasks that can be automated. Performs other duties as assigned. Complies with all policies and standards. Organizational AccountabilitiesOrganizational Accountabilities (Staff) Organizational Commitment/Identification Anticipate and responds to customer needs; follows up until needs are met Teamwork/Communication Demonstrate collaborative and respectful behavior Partner with all team members to achieve goals Receptive to others' ideas and opinions Performance Improvement/Problem-solving Contribute to a positive work environment Demonstrate flexibility and willingness to change Identify opportunities to improve clinical and administrative processes Make appropriate decisions, using sound judgment Cost Management/Financial Responsibility Use resources efficiently Search for less costly ways of doing things Safety Speak up when team members appear to exhibit unsafe behavior or performance Continuously validate and verify information needed for decision making or documentation Stop in the face of uncertainty and takes time to resolve the situation Demonstrate accurate, clear and timely verbal and written communication Actively promote safety for patients, families, visitors and co-workers Attend carefully to important details - practicing Stop, Think, Act and Review in order to self-check behavior and performance Primary Location: District of Columbia-WashingtonWork Locations: Remote Work Location 111 Michigan Avenue NW Washington 20010Job: Information TechnologyOrganization: MiscellaneousPosition Status: R (Regular) - FT - Full-TimeShift: DayWork Schedule: 8:30-5Job Posting: Nov 25, 2025, 8:09:10 PMFull-Time Salary Range: 109116. 8 - 181854. 4

Senior Data Engineer - (25000366) Description The Senior Data Engineer is responsible for designing, developing, and operationalizing advanced cloud data pipelines to facilitate seamless data consumption for reports, advanced analytics, and AI initiatives. This role involves overseeing the entire data lifecycle, including data ingestion, transformation, validation, and quality assurance. The Senior Data Engineer ensures the optimization and orchestration of data pipelines to handle high-volume and high-performance requirements effectively. Additionally, this role leads efforts in Continuous Integration and Continuous Deployment (CI/CD), driving automation and deployment efficiency. The Senior Data Engineer collaborates with cross-functional teams to align data solutions with business needs, provide strategic insights, and mentor junior team members, all while upholding best practices and ensuring data integrity. Qualifications Minimum EducationBachelor's Degree A Bachelor's degree in a quantitative or business field (e. g. , Statistics, Mathematics, Engineering, Computer Science). (Required) Minimum Work Experience6 years Requires deep functional knowledge with 6+ years of related experience or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. (Required) Required Skills/KnowledgeExperience with big data; data processing and cloud technologies. Strong experience diagnosing system issues, engaging in data validation, and providing quality assurance testing. Experience with data manipulation; Data mining. Experience working in production cloud infrastructure. Experience with C# (programming language); Java (programming language); Programming concepts; Programming tools; Python (Programming Language); SQL (programming language). Knowledge of Microsoft Azure; Databricks or equivalent. Seeks to acquire knowledge in area of specialty. Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions. Ability to work independently. Demonstrated analytical skills. Demonstrated project management skills. Demonstrates a high level of accuracy, even under pressure. Demonstrates excellent judgment and decision-making skills. Great verbal and written communication skills, communicate complex findings in a clear and understandable manner Great facilitation ability to host sessions and elicit ideas from others, understanding their issues and encourage group participation Attention to detail. Communicate complex findings in a clear and understandable manner Collaborate effectively with cross-functional teams Adapt to changing priorities and thrive in a dynamic environment Functional AccountabilitiesHelps guide the design and implementation of complex data management procedures around data staging, data ingestion, data preparation, data provisioning, data destruction, (scripts, programs automation, assisted by automation etc. ) Provides guidance to data engineering in the design, development, implementation, testing, documentation, and preparation of large scale, high volume, high performance data structures for business intelligence analysts. Designs, develops and maintains real time processing applications and real time data pipelines. Ensure quality of technical solutions as data moves across environments. Provides senior level knowledge and insight into the changing cloud data environment, data processing, data storage, and utilization requirements for the company and drives the team toward viable solutions. Develops, constructs, tests, and maintains architectures using advanced programming languages and tools. Drives ways to improve data reliability, efficiency, and quality and deploys a solution; use data to discover tasks that can be automated. Performs other duties as assigned. Complies with all policies and standards. Organizational AccountabilitiesOrganizational Accountabilities (Staff) Organizational Commitment/Identification Anticipate and responds to customer needs; follows up until needs are met Teamwork/Communication Demonstrate collaborative and respectful behavior Partner with all team members to achieve goals Receptive to others' ideas and opinions Performance Improvement/Problem-solving Contribute to a positive work environment Demonstrate flexibility and willingness to change Identify opportunities to improve clinical and administrative processes Make appropriate decisions, using sound judgment Cost Management/Financial Responsibility Use resources efficiently Search for less costly ways of doing things Safety Speak up when team members appear to exhibit unsafe behavior or performance Continuously validate and verify information needed for decision making or documentation Stop in the face of uncertainty and takes time to resolve the situation Demonstrate accurate, clear and timely verbal and written communication Actively promote safety for patients, families, visitors and co-workers Attend carefully to important details - practicing Stop, Think, Act and Review in order to self-check behavior and performance Primary Location: District of Columbia-WashingtonWork Locations: Remote Work Location 111 Michigan Avenue NW Washington 20010Job: Information TechnologyOrganization: MiscellaneousPosition Status: R (Regular) - FT - Full-TimeShift: DayWork Schedule: 8:30-5Job Posting: Nov 25, 2025, 8:09:10 PMFull-Time Salary Range: 109116. 8 - 181854. 4