Data engineer jobs in Edinburg, TX - 5,698 jobs

The Principal Data Consultant works in partnership with Product Management, Sales, Customer Support, Order Management, Data Delivery centers, and other cross-functional groups to define and document requirements for standard and custom data products, and to further provide analytical and liaison support to the delivery of sustainable and streamlined data solutions. The **hybrid-remote** PrincipalData Consultant leverages both data and client knowledge to define and align customer requirements to data extract specifications and deliverables while providing support to account executives and product managers regarding the applicability of CoreLogic data to business use cases.* Facilitate discovery of business requirements from client's perspective, translated into specifications which will deliver the right mix of data elements to enable clients to make timely and insightful decisions* Collaborate with clients and internal stakeholders to ensure data needs are well understood* Gather requirements from internal and external stakeholders to write extract specifications that meet client's needs* Define user stories and requirements and conduct research / analysis in support of developing standardized layouts and packages to meet requirements* Write detailed descriptions of user needs (including acceptance criteria) for the development of custom data extracts, or (preferentially) new standard data products* Validate specifications with internal and external stake-holders to ensure they are consistent with articulated business requirements and deliver the expected results* Coordinate issue resolution across multiple teams* Bachelor's degree in Business Administration, Computer Science, relevant discipline, or equivalent experience.* Typically has 10+ years of Business/Process Analyst or directly related experience in the same or related industry* Excellent written and oral communication skills* Ability to translate business requirements into complete and deliverable specifications·* Excellent organizational and project management and facilitation skills. Ability to prioritize and handle multiple concurrent projects* Excellent interpersonal skills for interacting with/influencing cross-functional teams and gaining consensus. Strong listening and question-based knowledge gathering skills* Ability to synthesize and analyze data from a variety of sources, identify issues, draw conclusions, and craft solutions* Experience working as a member of a distributed team. Ability to organize and coordinate with stakeholders across multiple functions and geographic locations* Domain knowledge covering one or more aspects of the real estate economy (mortgage servicing, property insurance, credit, etc)* Experience authoring SQL queries.* Familiarity with diverse coding, profiling, and visualization approaches including Python, Tableau, and Google Cloud* Extensive knowledge of client base, product, and data offerings* Understanding of Big Data, Cloud, Machine Learning approaches and concepts Cotality is fully committed to a work environment that embraces everyone's unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. Please navigate to "location" and filter on desired country under the "locations". ex: United States, Canada, United Kingdom, India# We have some exciting news to share with you, CoreLogic will now be called Cotality! Our new brand reflects our commitment to delivering innovative solutions and building deep relationships.Speaking of fresh starts-if you're thinking about making a change, and you're someone who wants to work for a growing company with a people-first culture which has earned us Great Place to Work recognitions in six countries, apply today!Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.If you need reasonable accommodation to complete the on-line application, please contact Talent Acquisition at ******************** or **************.Please include the following information in your email:The specific accommodation you're requesting to complete an employment application the position you are applying for (job title and/or job number)********************. Please allow up to three business days to receive a response.Please include the following information in your email:*Your organization's name**Organization's location(s)**Brief description of your need*Cotality is aware of schemes involving fraudulent job postings on third-party employment search sites and/or individual(s) or entities claiming to be employees of Cotality. Those involved are offering fraudulent employment opportunities to applicants, often asking for sensitive personal and financial information. If you believe you have been contacted by anyone misrepresenting themselves as an employee of Cotality or a Cotality recruiter, please contact Cotality at ********************.* Please be advised that all legitimate correspondence from a Cotality employee will come from "@Cotality.com" or "@CoreLogic.com" email accounts.* Cotality will not **interview** candidates via text or email. Our interviews will be conducted by recruiters and leaders via the phone, zoom/teams or in an in-person format.* Cotality will never ask candidates to make any type of personal financial investment related to gaining employment with the Company.Please click to view the Cotality Applicant Privacy Statement.By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide. #J-18808-Ljbffr

We are seeking a Senior Data Architect to play a strategic, business-facing role in shaping how data is used across the organization. This role will be a key partner to Operations, Supply Chain, and Executive Leadership, helping the business fully leverage Power BI and Dynamics 365 F&O to drive insight, decision-making, and performance. The ideal candidate brings deep Supply Chain Management (SCM) knowledge, strong BI architecture expertise, and the ability to translate business questions into meaningful analytics. This is not a finance-centric role-the focus is on operational excellence, supply chain visibility, and business enablement. The business teams are relatively new to D365 F&O and Power BI, so the successful candidate will act as a guide, translator, and evangelist, helping users mature their analytical capabilities while setting a scalable BI foundation. Key Responsibilities Strategic & Business Partnership Act as the BI thought leader for the business, bridging the gap between operational teams, IT, and executive leadership Partner closely with Supply Chain, Manufacturing, Logistics, and Operations leaders to define meaningful KPIs and reporting needs Support C-suite reporting, turning complex data into clear, executive-level insights and narratives Help shape the BI roadmap and data strategy, aligned with business priorities and transformation initiatives Power BI & Analytics Enablement Lead the design, development, and governance of Power BI solutions across the organization Establish best practices for data models, semantic layers, dashboards, and self-service BI Drive adoption by coaching and enabling business users to effectively use Power BI Translate business questions into intuitive dashboards and actionable insights D365 F&O & Data Architecture Design and maintain a robust analytics architecture leveraging Dynamics 365 F&O data Develop deep understanding of SCM data domains: inventory, procurement, production, warehousing, demand planning, logistics Ensure data consistency, reliability, and scalability across reporting solutions Work with IT and partners on data pipelines, integrations, and performance optimization Leadership & Change Enablement Serve as a trusted advisor during BI and data-related initiatives Drive continuous improvement in how data is used to manage operations and performance Champion a data-driven culture across a business new to modern BI tools Required Experience & Skills Core Requirements 8+ years of experience in BI, data architecture, or analytics leadership roles Deep functional understanding of Supply Chain Management (SCM) in a manufacturing or industrial environment Strong experience with Power BI (data modeling, DAX, semantic models, governance) Hands-on experience working with Dynamics 365 Finance & Operations, particularly SCM modules Proven ability to work directly with senior business stakeholders and executives Business & Communication Skills Strong ability to translate business needs into technical BI solutions Comfortable educating and enabling non-technical users Executive-level communication and storytelling with data Pragmatic, business-first mindset (not overly technical or finance-driven) Nice to Have Experience with Azure Data Platform (Azure SQL, Synapse, Data Factory, Databricks) Experience designing enterprise KPI frameworks for operations and supply chain Background in organizations early in their Power BI or ERP maturity journey Exposure to data governance, master data, or analytics operating models

Contract Type: W2 Only Job Title: Data Scientist We are seeking a mid-level Data Scientist to join our team and help drive personalized customer experiences through customer segmentation and online experimentation. In this role, you will build and deploy machine learning models, design and analyze A/B tests, and translate business objectives into data-driven insights that directly influence marketing and product decisions. This role is ideal for someone who enjoys combining statistical rigor, applied machine learning, and business impact in a fast-paced, collaborative environment. Required Skills: Research, prototype, and develop AI/ML solutions for customer segmentation and personalization. Design, execute, and analyze online controlled experiments (A/B tests, multivariate tests) to validate hypotheses and measure business impact. Build, deploy, monitor, and analyze machine learning models in production environments. Apply statistical experimentation techniques when launching and iterating on AI-driven products. Partner closely with data, product, marketing, and engineering teams to align solutions with business goals. Translate complex analytical findings into clear, actionable insights for non-technical stakeholders. Stay current with emerging tools, frameworks, and best practices in data science and experimentation. Deliver high-quality work on time with a strong focus on research rigor, innovation, and engineering excellence. Demonstrate measurable impact through data science applied to marketing and personalization use cases. Basic Qualifications: 2+ years of experience in statistical data science, feature engineering, and customer segmentation. 2+ years of hands-on experience with Python, SQL, and PySpark. 2+ years of experience training, evaluating, and deploying machine learning models. 2+ years of experience productionizing ML workloads in AWS or Azure. Familiarity with containerized deployments using Docker and/or Kubernetes. Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or equivalent practical experience. Preferred Qualifications: Experience working with the Databricks platform. Experience building ML models using large-scale structured and unstructured data. Exposure to MarTech ecosystems, such as: Customer Data Platforms (CDPs); Data Management Platforms (DMPs); Email Service Providers (ESPs) Experience integrating data science solutions into marketing and personalization workflows.

This is a Full Time Direct Hire Permanent Role No C2C No Sponsorship We are seeking Data Engineers to support a critical migration project from SQL Server to Azure Synapse Analytics. This role combines data engineering, data analysis, and visualization responsibilities to ensure a smooth transition and optimized data architecture. Key Responsibilities Design, develop, and implement data pipelines to migrate data from SQL Server to Azure Synapse Analytics. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Optimize data models and queries for performance and scalability in Azure Synapse. Perform data analysis and validation to ensure accuracy and integrity during migration. Develop dashboards and reports using Power BI for business insights. Work with Microsoft Fabric to integrate and manage data workflows. Ensure compliance with data governance and security standards. Required Skills & Qualifications Strong experience with SQL (query optimization, stored procedures). Proficiency in Python for data processing and automation. Hands-on experience with Apache Spark for big data processing. Expertise in Azure Synapse Analytics and familiarity with Microsoft Fabric. Experience building and maintaining Power BI dashboards. Solid understanding of data warehousing concepts and ETL processes. Preferred Qualifications Experience with cloud-based data architecture and migration projects.

Required Qualifications: 9+ years' experience and hands on with Data Warehousing. 9+ years of hands on ETL (e.g., Informatica/DataStage) experience 3+ years of hands-on Big query 3+ years of hands on GCP 9+ years of Teradata hands on experience 9+ years working in a cross-functional environment. 3+ years of hands-on experience with Google Cloud Platform services like Big Query, Dataflow, Pub/Sub, and Cloud Storage 3+ years of hands-on experience building modern data pipelines with GCP platform 3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management 3+ years of experience with SQL, NoSQL 3+ years of experience in data engineering with a focus on microservices-based data solutions 3+ years of containerization (Docker, Kubernetes) and CI/CD for data pipeline 3+ years of experience with Python (or a comparable scripting language) 3+ years of experience with Big data and cloud architecture 3+ years of experience with deployment/scaling of apps on containerized environment (Kubernetes,) Excellent oral and written communications skills; ability to interact effectively with all levels within the organization. Working knowledge of AGILE/SDLC methodology Excellent analytical and problem-solving skills. Ability to interact and work effectively with technical & non-technical levels within the organization. Ability to drive clarity of purpose and goals during release and planning activities. Excellent organizational skills including ability to prioritize tasks efficiently with high level of attention to detail.. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status. Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support. Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit ******************** Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

About the Role We are looking for a Data Analytics Engineer who sits at the intersection of data engineering and analytics. In this role, you will transform raw, messy data from vehicles, APIs, and operational systems into clean, reliable datasets that are trusted and widely used-from engineering teams to executive leadership. You will own data pipelines end to end and build dashboards that surface insights, track performance, and help teams quickly identify issues. What You'll Do Build and maintain ETL pipelines that ingest data from diverse internal systems into a centralized analytics warehouse Work with unique and high-volume datasets, including vehicle telemetry, sensor-derived signals, logistics data, and system test results Write efficient, well-structured SQL to model and prepare data for analysis and reporting Design, build, and maintain dashboards (e.g., Grafana or similar) used to monitor system performance and operational health Partner closely with engineering, operations, and leadership teams to understand data needs and deliver actionable datasets Explore internal AI- and LLM-based tools to automate analysis and uncover new insights What You'll Need Strong hands-on experience with Python and data libraries such as pandas, Polars, or similar Advanced SQL skills, including complex joins, window functions, and query optimization Proven experience building and operating ETL pipelines using modern data tooling Experience with BI and visualization tools (e.g., Grafana, Tableau, Looker) Familiarity with workflow orchestration tools such as Airflow, Dagster, or Prefect High-level understanding of LLMs and interest in applying them to data and analytics workflows Strong ownership mindset and commitment to data quality and reliability Nice to Have Experience with ClickHouse or other analytical databases (e.g., Snowflake, BigQuery, Redshift) Background working with vehicle, sensor, or logistics data Prior experience in autonomous systems, robotics, or other data-intensive hardware-driven domains

Immediate need for a talented Data Engineer. This is a 06+ Months Contract opportunity with long-term potential and is located in Dallas, TX (Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID:26-00480 Pay Range: $40 - $45/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Design, develop, and optimize end-to-end data pipelines using Python and PySpark Build and maintain ETL/ELT workflows to process structured and semi-structured data Write complex SQL queries for data transformation, validation, and performance optimization Develop scalable data solutions using Azure services such as Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and Databricks Ensure data quality, reliability, and performance across data platforms Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements Implement best practices for data governance, security, and compliance Monitor and troubleshoot data pipeline failures and performance issues Support production deployments and ongoing enhancements Key Requirements and Technology Experience: Must have skills: Data Engineer, Azure, Python, PySpark Strong proficiency in SQL for querying and data modeling Hands-on experience with Python for data processing and automation Solid experience using PySpark for distributed data processing Experience working with Microsoft Azure data services Understanding of data warehousing concepts and big data architectures Experience with batch and/or real-time data processing Ability to work independently and within cross-functional teams Experience with Azure Databricks Knowledge of data modelling techniques (star/snowflake schemas) Familiarity with CI/CD pipelines and version control tools (Git) Exposure to data security, access control, and compliance standards Experience with streaming technologies Knowledge of DevOps or DataOps practices Cloud certifications (Azure preferred) Our client is a leading Pharmaceutical Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa Technology & Operations LLC, a Visa Inc. company, needs a Staff Data Engineer (multiple openings) in Austin, TX to: Design, enhance, and build next generation fraud detection solutions in an agile development environment. Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product stakeholders. Drive development effort end-to-end for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Responsibilities span all phases of solution development. Collaborate with project team members (Product Managers, Architects, Analysts, Developers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions. Deliver all code commitments and ensure a complete end-to-end solution that meets and exceeds business expectations. Assist in scoping and designing analytic data assets, implementing modelled attributes, and contributing to brainstorming sessions. Build and maintain a robust data engineering process to develop and implement self-serve data and tools for Visa's data scientists. Perform other tasks on data governance, system infrastructure, analytics tool evaluation, and other cross-team functions, as needed. Execute data engineering projects ranging from small to large either individually or as part of a project team. Ensure project delivery within timelines and budget requirements. Effectively communicate status, issues, and risks in a precise and timely manner. Position reports to the Austin, Texas office and may allow for partial telecommuting. Qualifications Basic Qualifications: Bachelor's degree in Computer Science, Engineering, Data Analytics or related field, followed by 5 years of progressive, post-baccalaureate experience in the job offered or in a data engineer-related occupation. Alternatively, a Master's degree in Computer Science, Engineering, Data Analytics or related field and 2 years of experience in the job offered or in a data engineer-related occupation. Experience must include: Creating data driven business solutions and solving data problems using the following technologies: Hadoop, Spark, NoSQL and SQL. Building ETL/ELT data pipelines, data quality checks and data anomaly detection systems. Building large scale data processing systems of high availability, low latency, & strong data consistency. Programming using SQL or Python. Agile development incorporating continuous integration and continuous delivery. Additional Information Worksite: Austin, TX This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs. Travel Requirements: This position does not require travel. Mental/Physical Requirements:This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $163,550.00 USD to $210,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job Title: Snowflake Data Architect Contract Role We are seeking an experienced Snowflake Data Architect to design, build, and optimize modern cloud-based data solutions. The ideal candidate will have deep expertise in Snowflake architecture, data modeling, and ELT pipelines, and will work closely with stakeholders to deliver scalable, reliable, and well-documented data platforms for analytics and reporting. Key Responsibilities Design, implement, and optimize data models in Snowflake to ensure efficient data storage, performance, and retrieval. Architect and maintain ETL/ELT data pipelines using Matillion and Python, ensuring data accuracy, reliability, and scalability. Develop and manage data transformations using dbt, creating curated, analytics-ready datasets. Write and optimize complex SQL queries for data extraction, transformation, and loading processes. Deploy, manage, and monitor cloud-based data infrastructure across AWS, Azure, or GCP environments. Ensure data quality, consistency, and governance across all data pipelines and platforms. Collaborate with business and technical stakeholders to gather requirements and translate them into scalable data solutions. Create and maintain technical documentation for data architectures, pipelines, and transformation logic. Apply best practices for performance tuning, cost optimization, and security within Snowflake. Required Skills & Qualifications Strong hands-on experience with Snowflake data architecture and data modeling. Proficiency in SQL, including complex queries and performance tuning. Experience building ELT pipelines using Matillion and Python. Strong experience with dbt for data transformation and modeling. Hands-on experience deploying and managing data platforms on AWS, Azure, or GCP. Solid understanding of data warehousing concepts and analytics architectures. Experience working with large-scale, high-volume datasets. Strong collaboration, communication, and documentation skills.

Living Our Values All associates are guided by Our Values. Our Values are the unifying foundation of our companies. We strive to ensure that every decision we make and every action we take demonstrates Our Values. We believe that putting Our Values into practice creates lasting benefits for all of our associates, shareholders, and the communities in which we live. Why Join Us Career Growth: Advance your career with opportunities for leadership and personal development. Culture of Excellence: Be part of a supportive team that values your input and encourages innovation. Competitive Benefits: Enjoy a comprehensive benefits package that looks after both your professional and personal needs. Total Rewards Our Total Rewards package underscores our commitment to recognizing your contributions. We offer a competitive and fair compensation structure that includes base pay and performance-based rewards. Compensation is based on skill set, experience, qualifications, and job-related requirements. Our comprehensive benefits package includes medical, dental, and vision insurance, wellness programs, retirement plans, and generous paid leave. Discover more about what we offer by visiting our Benefits page. A Day In The Life As a Lead Data Engineer within the Trailblazer initiative, you will play a crucial role in architecting, implementing, and managing robust, scalable data infrastructure. This position demands a blend of systems engineering, data integration, and data analytics skills to enhance TFG's data capabilities, supporting advanced analytics, machine learning projects, and real-time data processing needs. The ideal candidate brings deep expertise in Lakehouse design principles, including layered Medallion Architecture patterns (Bronze, Silver, Gold), to drive scalable and governed data solutions. This is also a highly visible leadership role that will represent the data engineering function and lead the Data Management Community of Practice across TFG. As a Lead Data Engineer you will: Design and implement scalable and reliable data pipelines to ingest, process, and store diverse data at scale, using technologies such as Apache Spark, Hadoop, and Kafka. Work within cloud environments like AWS or Azure to leverage services including but not limited to EC2, RDS, S3, Lambda, and Azure Data Lake for efficient data handling and processing. Architect and operationalize data pipelines following Medallion Architecture best practices within a Lakehouse framework-ensuring data quality, lineage, and usability across Bronze, Silver, and Gold layers. Develop and optimize data models and storage solutions (Databricks, Data Lakehouses) to support operational and analytical applications, ensuring data quality and accessibility. Utilize ETL tools and frameworks (e.g., Apache Airflow, Fivetran) to automate data workflows, ensuring efficient data integration and timely availability of data for analytics. Lead the Data Management Community of Practice, serving as the primary facilitator, coordinator, and spokesperson. Drive knowledge sharing, establish best practices, and represent the data engineering discipline across TFG to both technical and business audiences. Collaborate closely with data scientists, providing the data infrastructure and tools needed for complex analytical models, leveraging Python or R for data processing scripts. Ensure compliance with data governance and security policies, implementing best practices in data encryption, masking, and access controls within a cloud environment. Monitor and troubleshoot data pipelines and databases for performance issues, applying tuning techniques to optimize data access and throughput. Stay abreast of emerging technologies and methodologies in data engineering, advocating for and implementing improvements to the data ecosystem. What We Need From You Bachelor's Degree in Computer Science, MIS, or other business discipline and 10+ years of experience in data engineering, with a proven track record in designing and operating large-scale data pipelines and architectures Req or Master's Degree computer science, MIS, or other business discipline and 5+ years of experience in data engineering, with a proven track record in designing and operating large-scale data pipelines and architectures Req Demonstrated experience designing and implementing Medallion Architecture in a Databricks Lakehouse environment, including layer transitions, data quality enforcement, and optimization strategies. Required Expertise in developing ETL/ELT workflows Required Comprehensive knowledge of platforms and services like Databricks, Dataiku, and AWS native data offerings Required Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage Required Strong experience in AWS cloud services, with hands-on experience in integrating cloud storage and compute services with Databricks Required Proficient in SQL and programming languages relevant to data engineering (Python, Java, Scala) Required Hands on RDBMS experience (data modeling, analysis, programming, stored procedures) Required Familiarity with machine learning model deployment and management practices is a plus Required Strong executive presence and communication skills, with a proven ability to lead communities of practice, deliver presentations to senior leadership, and build alignment across technical and business stakeholders. Required AWS Certified Solution Architect Preferred Databricks Certified Associate Developer for Apache Spark Preferred DAMA CDMP Preferred or other relevant certifications. Preferred Physical and Environmental RequirementsThe physical requirements described here are representative of those that must be met by an associate to successfully perform the essential functions of the job. While performing the duties of the job, the associate is required on a daily basis to analyze and interpret data, communicate, and remain in a stationary position for a significant amount of the work day and frequently access, input, and retrieve information from the computer and other office productivity devices. The associate is regularly required to move about the office and around the corporate campus. The associate must frequently move up to 10 pounds and occasionally move up to 25 pounds. Travel Requirements 20% The associate is occasionally required to travel to other sites, including out-of-state, where applicable, for business. Join Us The Friedkin Group and its affiliates are committed to ensuring equal employment opportunities, including providing reasonable accommodations to individuals with disabilities. If you have a disability and would like to request an accommodation, please contact us at . We celebrate diversity and are committed to creating an inclusive environment for all associates. We are seeking candidates legally authorized to work in the United States, without Sponsorship. #LI-TW1

General Purpose This role oversees and manages the work of Data Engineer who design and develop ETL pipelines and processes in our Cloud Infrastructure. They are responsible for the overall data integrity and quality, pipeline performance, and cost optimization within our Cloud (Azure) infrastructure. Duties and Responsibilities Manages the day-to-day tasks and development work of the Data Engineering team to ensure alignment with objectives and deliverables Conducts continuous evaluation and improvement on the ETL pipelines created by the Data Engineers to ensure cost effectiveness and performance Designs and implement automatic data quality reporting, communicating directly with different stakeholders whenever there are deviations Create and implement technical roadmaps to ensure we have the most up-to-date Cloud infrastructure Ensure technical alignment with the Data Engineering team from HQ. Qualifications Bachelor's degree in computer science, software engineering, information technology, or a related field. Advanced degree is a plus. 3+ years experience in data engineering, including hands-on experience in building and maintaining data pipelines and data infrastructure. 3+ years proven experience leading and managing a team of data engineers, including setting objectives, providing guidance, and assessing performance A strong foundation in data engineering principles, including data integration, ETL (Extract, Transform, Load) processes, data warehousing, and data modeling. Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL. Proficiency with big data technologies and platforms, such as Hadoop, Spark, Apache Kafka, and distributed data processing frameworks. Experience with various database systems, including relational databases (e.g., SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Proficiency on cloud platforms like Azure, AWS, etc. for data storage and processing. Ability to lead and manage a team of data engineers, including setting objectives, providing guidance, and assessing performance. 30% travel projected Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain Texas or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Coca-Cola Southwest Beverages. Please inform us at if you need assistance completing this application or to otherwise participate in the application process. Know Your Rights dol.gov Coca-Cola Southwest Beverages LLC is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.

Summary/Objective Alliance Technical Group is seeking an experienced Senior Data Engineer to design, build, and optimize the databases and data systems that power our business intelligence and analytics platforms. In this role, you will lead the creation of scalable pipelines, data models, and cloud-based architecture that ensures reliable, high-quality data across the organization. You will architect and implement new database solutions, drive migration and optimization efforts in PostgreSQL and Snowflake, and advance data governance initiatives. Working in an agile, cross-functional environment, you will translate business needs into scalable solutions while ensuring security, integrity, and performance. This role is ideal for someone who thrives on building data platforms from the ground up and shaping enterprise data strategy. This position is remote but may follow a hybrid schedule for candidates located within 60 miles of an Alliance office. Essential Functions Architect and implement new databases and data platforms to meet business and technical requirements Build and maintain scalable ELT/ETL pipelines and data models for analytics and reporting Manage and optimize database environments, including provisioning, performance tuning, and access controls Implement and manage automation and workflow orchestrations for reliable, repeatable deployments Ensure data quality, consistency, and compliance through robust validation and monitoring practices Collaborate with cross-functional teams to define technical requirements, estimate development efforts, and deliver business-aligned solutions Troubleshoot complex issues, recommend improvements, and maintain clear documentation of data systems, processes, and solutions proposed/implemented Mentor junior data engineers, providing technical guidance, code reviews, and best practices Required Qualifications Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience) 10+ years of hands-on experience with relational databases, including designing and implementing new database systems Knowledge, Skills, & Abilities Proven experience designing and building new databases and large-scale data systems, particularly in PostgreSQL and Snowflake; hands-on experience with dbt Demonstrated ability to develop and optimize ELT/ETL pipelines for complex data sets Experience with cloud architecture, workflow orchestration, and Git-based version control Knowledge of data governance, data quality, and validation practices Strong troubleshooting and root-cause analysis skills Excellent communication skills and experience working in agile, cross-functional teams Working knowledge of Python preferred, familiarity with data visualization principles a plus Work Environment While performing the duties of this job, the employee regularly works in an office setting with constant sitting and occasional standing. Physical Demands Prolonged periods of sitting or standing at a desk while using a computer. Travel Not Applicable Other Duties Please note this job description is intended to describe the general nature and level of work performed by employees assigned to this position. It is not designed to contain or be interpreted as a comprehensive list of all duties, responsibilities, and qualifications. Additional job-related duties may be assigned. Alliance reserves the right to amend and change responsibilities to meet business and organizational needs as necessary with or without notice. Employee Benefits: Key Benefits Include: - Medical, Dental, and Vision Insurance - Flexible Spending Accounts - 401(K) Plan with Competitive Match - Continuing Education and Tuition Assistance - Employer-Sponsored Disability Benefits - Life Insurance - Employee Assistance Program (EAP) - Paid Time Off (PTO), Paid Holidays, & Bonus Floating Holiday (if hired before July 1st) - Profit Sharing or Individual Bonus Programs - Referral Program - Per Diem & Paid Travel - Employee Discount Hub Salary based upon experience. EEO Commitment: We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, national origin, ethnicity, sex, pregnancy, sexual orientation, gender identity/expression, including transgender identity, religion, disability, age, genetics, active military or veteran status and any other characteristics protected under applicable federal or state law.

Principal (Senior) Software Engineer - Linux OS Engineering The Software Engineering team delivers next-generation application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications and diagnostics - all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners. Join us to do the best work of your career and make a profound social impact as a Principal (Senior) Engineer on our Client Solution Software Engineering team in Austin, Texas. As a Principal (Senior) Software Engineer in Linux OS Engineering , you'll be responsible for delivering Linux solutions on our Industrial Client Product Portfolio (Desktop, Notebook, Workstation and so on). This is a new and exciting position for an Architect kind of role within Dell's Client Platform Software Engineering organization, and it is focused on the Linux Operating Systems. This Engineer will be responsible for advanced engineering in the development of technologies for modern client solutions shipped with new client products. Also, the role serves as the lead strategist for a technology or a collection of technologies that together form a complete solution. Drive Front-End and Next-Generation Platform Strategy by defining requirements and architectures to support upcoming releases Collaborate with Key Stakeholders including CTO, System Architects, Product Marketing, and Front-End Core Teams to align on platform goals Lead Industry and Partner Engagement through forums, early collaboration with third-party partners, and open-source initiatives within the Linux community Define Technical Impact and Innovation by assessing Linux OS implications for BIOS, firmware, and application software, while fostering patent opportunities and concept code development Gather and Refine Requirements using industry insights and NUDD analysis to deliver proof-of-concepts and ensure alignment during front-end phases 8 - 12+ years of industry experience working with Linux OS, device drivers or related system technologies on Arm based platforms ~ Architect level experience to develop/design key elements of the Linux Operating Systems or solutions that interact extensively with the Linux Operating System (OS) kernel on Arm-based platforms ~ Understand Linux OS components well enough on how to optimize for power/performance and be well-versed in code profiling tools ~ Has background writing low-level device drivers and understands how to streamline code for both key code metrics in execution space as well as the code maintenance/support aspect ~ Development skills including proficiency in C, C++ and C#, good understanding of SW updates technologies Typically requires 8 - 12+ years of related experience in a professional role with a Bachelor's degree; or 3+ years with a PhD; Experience contributing to open-source projects, including major platforms such as the Linux kernel and GNOME Supported by your benefits. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Read the full Equal Employment Opportunity Policy here . #

COMPANY PROFILE: AgTexas Farm Credit Services serves and supports approximately 2,600 member/borrowers in areas of lending, insurance sales, appraisal, and/or leasing. Eleven office locations can be found throughout the Association's 43-county trade territory, and the association has an average loan volume of approximately $2.85 billion, with total assets equaling $3.2 billion. lending portfolio consists of cotton, livestock, dairy, feed grains, real estate, and ag-related business loans. Additionally, the association territory provides diversity in production and mortgage loans as well as commodities financed. Without strong financial backing farmers and ranchers will not survive, and people will not have food to eat or clothes to wear. AgTexas provides reliable credit and crop insurance to our member-owners, so they can feed and clothe the world. POSITION: The Data Engineer I position has a location and salary that is negotiable depending upon experience. Supports the design, development, and maintenance of data pipelines and data infrastructure to ensure reliable data access and analytics across the Association. Contributes to workflow automation, collects, cleans, and integrates data from multiple sources while building and supporting automation platforms. *AgTexas, at its sole discretion, may offer this position with a different title based upon the qualifications of the candidate. MINIMUM EDUCATION AND EXPERIENCE: Bachelor's degree in computer science, information systems, data science, related field or equivalent, practical experience. Possesses a strong proficiency in SQL and a solid understanding of relational database concepts, enabling effective data querying and management. Familiarity with one or more programming languages such as Python, PowerShell (PS), or Java is essential for scripting and automation tasks. Exposure to cloud data platforms, including Azure or AWS, is preferred, as is a working knowledge of ETL processes and data pipeline development. Experience or familiarity with data modeling, data warehousing concepts, or business intelligence (BI) tools is preferred. KEY REQUIREMENTS: The ideal candidate has a solid technical foundation, strong problem-solving skills, and the ability to contribute beyond traditional data engineering duties by supporting both data-driven and process automation initiatives. Strong problem - solving and analytical skills, with the ability to break down complex issues and develop effective solutions. Ability to convey technical concepts clearly to non-technical stakeholders. Proactive in the application of new tools and technologies. Strong interpersonal and excellent oral and written communications skills are required. KEY RESPONSIBILITES: Design, build, and maintain data pipelines and integrations to ensure reliable access to data across systems. Support database design, modeling, and optimization efforts. Support and enhance workflow automation solutions using platforms such as Nintex and Microsoft Power Platform (Power Automate, Power Apps, Power BI). Assist in managing cloud-based data platforms (e.g., Azure, AWS, etc.). Collaborate with analysts and business teams to ensure data availability for reporting and analytics. Implement data quality checks, validation processes, and documentation for all data flows. Develop and optimize SQL queries, scripts, API management, and automation processes. Monitor, troubleshoot, and resolve issues related to data pipelines, workflows, and system integrations. Contribute to continuous improvement initiatives that leverage both data engineering and workflow automation. WORKING RELATIONSHIPS: Frequent interaction with Association departmental staff and management. Occasional interaction with Association senior management, CEO, and/or board of directors. Occasional interaction with Farm Credit Bank of Texas staff. EOE/AA/M/F/D/V AgTexas FCS is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, national origin, protected veteran status, sexual orientation, gender identity or genetic information. Persons with disabilities who require an accommodation to complete the application process should call our Lubbock office at and ask to speak to one of our HR representatives to request accommodation in the application process.

Role: Senior Data Architect-FTE Client: CBRE - Full time Opportunity Job Details As a Senior Data Architect, you will lead the design, development, and implementation of scalable, high-performance data platforms that support advanced analytics, AI/ML, and enterprise reporting. This is a hands-on role, combining strong data engineering expertise with architectural leadership to build modern, AI-ready data ecosystems. You will work closely with business stakeholders, engineering teams, and analytics leaders to translate complex business requirements into robust, secure, and future-ready data solutions. Design and implement end-to-end modern data architectures, including data lakes, lakehouses, and data warehouses. Lead hands-on development of ETL/ELT pipelines, ensuring scalability, reliability, and performance. Architect and optimize batch and streaming data pipelines across cloud and hybrid environments. Drive best practices for data modeling (conceptual, logical, physical) to support analytics and reporting. Build and manage integrations between enterprise systems, data platforms, and third-party APIs. Ensure data consistency, quality, and lineage across multiple sources. Implement metadata management, orchestration, and monitoring frameworks. Enable AI/ML-ready data foundations for advanced analytics, NLP, and intelligent automation. Support structured and unstructured data processing to enable downstream analytics use cases. Exposure to Ontology and Knowledge Graphs is a strong plus for semantic modeling and contextual analytics. Qualifications Bachelor's or Master's degree in Computer Science, Data Engineering, or related field. 10+ years of overall experience, with 3+ years in data architecture and platform design. Strong hands-on expertise in data engineering and modern data platforms. Proven experience building enterprise-scale data platforms and data products. Deep familiarity with Snowflake, Databricks, Azure Synapse, or equivalent platforms. Strong knowledge of SQL, data modeling, metadata management, and orchestration tools. Experience with BI and reporting tools. Solid understanding of data governance and MDM frameworks. Excellent communication, stakeholder management, and technical leadership skills.

We are seeking an experienced and innovative Data Architect to lead the design, development, and optimization of our enterprise data architecture. This individual will play a critical role in aligning data strategy with business objectives, ensuring data integrity, and driving value from data across multiple platforms. The ideal candidate will have deep expertise in data architecture best practices and technologies, particularly across SAP S/4 HANA, Veeva CRM, Veeva Vault, SaaS platforms, Operational Data Stores (ODS), and Master Data Management (MDM) platforms. This is a full-time, position reporting to the Director, Enterprise Architecture ESSENTIAL DUTIES AND RESPONSIBILITIES: Design, develop, and maintain scalable and secure enterprise data architecture solutions across SAP S/4 HANA, Veeva CRM, and Veeva Vault environments. Serve as a subject matter expert for Operational Data Stores and Master Data Management architecture, ensuring clean, consistent, and governed data across the enterprise. Collaborate with cross-functional teams to identify data needs, establish data governance frameworks, and define data integration strategies. Develop data models, data flows, and system integration patterns that support enterprise analytics and reporting needs. Evaluate and recommend new tools, platforms, and methodologies for improving data management capabilities. Ensure architectural alignment with data privacy, regulatory, and security standards. Provide leadership and mentoring to data engineering and analytics teams on best practices in data modeling, metadata management, and data lifecycle management. Contribute to data governance initiatives by enforcing standards, policies, and procedures for enterprise data. QUALIFICATIONS/KNOWLEDGE: Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field. Minimum of 8+ years of experience in data architecture, data integration, or enterprise data management roles. Proven experience in designing and implementing data solutions on SAP S/4 HANA, including integration with other enterprise systems. Strong hands-on experience with SaaS platforms, including data extraction, modeling, and harmonization. Deep understanding of Operational Data Stores and MDM design patterns, implementation, and governance practices. Proficiency in data modeling tools (e.g., Erwin, SAP PowerDesigner), ETL tools (e.g., Business Objects Data Services, SAP Data Services), and integration platforms (e.g., MuleSoft). Familiarity with cloud data architecture (e.g., AWS, Azure, GCP) and hybrid data environments. Excellent communication and stakeholder management skills. OTHER: Experience with pharmaceutical, life sciences, or regulated industry environments. Knowledge of data privacy regulations such as GDPR, HIPAA, and data compliance frameworks Ability to travel domestically and internationally as needed for high priority projects Novocure is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state, or local law. We actively seek qualified candidates who are protected veteran and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Novocure is committed to providing an interview process that is inclusive of our applicant's needs. If you are an individual with a disability and would like to request an accommodation, please email ABOUT NOVOCURE: Our vision Patient-forward: aspiring to make a difference in cancer. Our patient-forward mission Together with our patients, we strive to extend survival in some of the most aggressive forms of cancer by developing and commercializing our innovative therapy. Our patient-forward values innovation focus drive courage trust empathy #LI-RJ1

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

Apply Description At Rhodes, our core purpose is to enhance the lives of our customers and team through building communities. We specialize in developing master planned communities and construction of high quality, energy efficient homes across the Rio Grande Valley. Since 2019, Esperanza Homes, a Rhodes Company, ranked nationally on the Top 200 Builders List and is on an aggressive growth trajectory to make the Top 100 Builders list while serving more communities across South Texas. Rhodes was founded in the early 1990's as a land acquisition and holding company. In 2006, the company shifted gears and ventured into residential/commercial land development and home building with the formation of Esperanza Homes. Rhodes Enterprises has grown to one of the largest developers of residential, commercial and master planned communities in the Rio Grande Valley. For more than a decade, we have grown to serve the communities of Mission, Donna, McAllen, Edinburg and Brownsville. We are passionate about our customers, building exceptional homes, our team and the communities where we live, work and serve. When you choose to work at Rhodes, you are part of a passionate and high performing Team! You will work alongside team members who set and reach ambitious goals every day and are excited to continue to grow and build communities. Benefits of being a part of our Team include: Competitive Compensation including Bonus & Profit-Sharing Programs Health Care - Medical/Dental/Vision/Prescription Drug Coverage Employer Paid Health Reimbursement Account for Medically Enrolled Staff 401(k) with Company Matching Contributions Disability Programs Employee & Dependent Life Insurance Vacation & Company Holidays Employee Home Purchase Rebate Program Employee Assistance Program (EAP) Role Mission: As a Data Engineer at Rhodes, you'll transform raw data into actionable intelligence, driving key business decisions that shape the company's strategic direction. Reporting to the Director of Data and IT, you'll develop advanced machine learning models and statistical analyses to uncover valuable insights from complex datasets. You'll automate data pipelines, translate business questions into data science solutions, and create sophisticated visualizations to communicate findings effectively. By collaborating across teams and staying current with cutting-edge techniques, you'll identify opportunities for data-driven improvements and predictive analytics. Your work will empower leaders to make faster, more informed decisions, propelling Rhodes towards innovation and market leadership in its data-driven transformation. Measured Performance Goals: 90% Projects Completed on Time 90% Reports Delivered on Time 95% Staff Satisfaction Rate (Send a survey to people we have partnered with over quarter) 87% Help Desk Tickets Completed on time for Urgent Tickets Accountabilities: Project Management: Create project plans for each project request Provide updates for project champion and Director of Data and IT Deploy projects across the organization from individuals to org-wide deployments Reports Conduct analyses to drive valuable business insights, using analytics tools, Python, and SQL to access and manipulate multivariate data Complete reports for the reporting calendar on time Provide ad-hoc analysis support to identify trends that drive business performance Communicate updates on report requests Maintain an inventory/documentation of all reports created Dashboards: Build data visualizations and multi-faceted dashboards that convey key performance metrics, significant trends, and relationships across multiple data sources within the content domain Ideate and develop new metrics and analytical approaches, measuring content performance for both tactical and strategic decision-making Partner with leaders to develop dashboards for their departments Provide support & maintenance to dashboards in Qlik Maintain an inventory/documentation of all dashboards created Storytelling: Identify, analyze, and interpret trends or patterns using multiple information sources Effectively communicate results through compelling data storytelling across the organization Data Engineering: Write code to create custom data pipelines from third-party systems for ETL into the data warehouse. Ensure data governance is incorporated into the development of visualizations Design and implement robust data models utilizing our data warehouse to support advanced analytics and facilitate insights generation through our business intelligence platform. Develop data pipelines to efficiently process and prepare large datasets for model training and inference Machine Learning: Implement and fine-tune machine learning models using established frameworks and libraries to solve complex business problems Select and apply appropriate pre-built machine learning algorithms and tools to analyze large datasets and extract meaningful insights Optimize model performance through hyperparameter tuning, feature engineering, and data preprocessing techniques Collaborate with cross-functional teams to understand business requirements and translate them into machine learning solutions Lives Rhodes Core Values: Act with Integrity, No Exceptions - believes there is no such thing as compromise when it comes to acting with integrity in everything you do. Honor our Team - honors team members as individuals and professionals, no exceptions. Never Be Satisfied -continuously looks for ways to improve every aspect of our business Best in Class Customer Experience -provide a best-in-class customer experience - every time, with every customer Community Leadership - takes pride in actively engaging in the communities we serve, making them better for our future. Embodies Characteristics of the Rhodes Team Believes and is committed to our purpose to enhance the lives of our customers and our team through building communities Is driven by outcomes and results, and wants to be held accountable for them Has a propensity for action, willing to make mistakes by doing in order to learn and improve quickly Thrives in an entrepreneurial, high-growth environment; is comfortable with ambiguity and change Seeks and responds well to feedback, which is shared often and freely across all levels of the organization Works through silos and forges strong cross-departmental relationships in order to achieve outcomes Supervisory Responsibilities: -None Qualifications, Knowledge and Skills: Bachelor's Degree Experience using Business Intelligence tools such as Qlik Sense Experience with Python programming language Proficient in all Microsoft Office Applications as well as have savvy computer skills Advanced Excel and reporting skills Strong in communication skills both oral and written as well as strong in organization skills Deadline driven and organized Customer service oriented Understand the need to be flexible and prioritize tasks in order to meet deadlines Preferred Qualifications, Knowledge, and Skills: Master's Degree Experience implementing machine learning models and statistical analyses to solve business problems and drive decision-making Experience with Snowflake support analytical and operational needs FLSA Status: Exempt Essential Functions (Mental/Physical/Environmental Requirements): The physical demands described here are representative of those that must be met by a team member with or without reasonable accommodations, to successfully perform the essential functions of this job. Report to office daily and adhere to schedule Ability to oversee direct reports daily and provide guidance as needed Ability to access, input, and retrieve information from a computer and/or electronic device Ability to have face to face conversations with customers, co-workers and manager Ability to sit or stand for long periods of time and move around work environment as needed Ability to operate a motor vehicle

At Speechify, our mission is to ensure reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products-including apps on iOS, Android, mac OS, Chrome, and web-to listen to PDFs, books, docs, and web content faster, smarter, and more joyfully than ever before. Our product has earned recognition from Google ( Chrome Extension of the Year ) and Apple ( App of the Day and 2025 Inclusivity Design Award) for its impact and accessibility. We're a fully remote, distributed team of engineers, designers, researchers, and product builders from world-class companies like Amazon, Microsoft, Google, Stripe, and more. We move fast, ship often, and love solving real user problems. Role Overview As a Software Engineer on the mac OS team, you'll help build and scale Speechify's core desktop experience for millions of users. You'll own significant parts of our mac OS app architecture, ship production-ready code, and collaborate closely with product, design, and engineering teams across the company. This is a key role for someone who thrives in a fast-paced startup environment, enjoys making high-impact product decisions, loves delightful user experiences, and has a passion for accessibility and performance. What You'll Do Lead key engineering and product decisions for the mac OS app. Write, test, and ship production-quality code that scales to millions of users. Maintain and evolve complex app architecture with a focus on performance and stability. Work within a cross-functional team, partnering with designers and PMs to shape features from concept to launch. Participate in product planning and roadmap discussions. Drive continuous improvement in code quality, CI/CD processes, and development workflows. You should have: Demonstrated experience shipping mac OS (or related desktop) applications used by many customers. Strong engineering instincts with a deep focus on user experience. A strategic mindset for building great products-not just writing code. Ability to work quickly, decide what to build now vs. later, and iterate fast. Experience working in remote, distributed teams. Technical requirements: Swift / SwiftUI (mac OS) proficiency. Solid understanding of AppKit, mac OS frameworks, and desktop-specific UI paradigms. Strong understanding of concurrency and asynchronous execution models Familiarity with Bitrise, CI/CD workflows (e.g., Xcode Cloud, GitHub Actions). Strong understanding of concurrency and asynchronous execution models What We offer: Impact & Ownership: Build and influence a product used by millions globally. Remote First: Flexible, asynchronous work culture. Growth & Leadership: Flat org - leadership is earned by impact, not title. Collaborative Environment: Work with smart, passionate engineers and designers. Competitive Compensation: Market-aligned salary, bonus, and equity. The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Why Join Speechify? At Speechify, we ship fast, build for real users, and care deeply about quality and accessibility. You'll work on products that change lives, and your contributions will shape both the product and the company. If this sounds like your kind of challenge, we'd love to hear from you. Apply with your resume and links to your portfolio or GitHub! Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.