Top Data Engineer Jobs in San Antonio, TX

As a Data Engineer, collaborate to create data-driven solutions for financial institutions, leveraging AWS and Python to handle data tasks from integration to delivery.

As a Senior Data Engineer, you'll develop and optimize scalable data solutions, enhance infrastructure, automate ETL workflows, and support BI initiatives.

Design and implement data assets and scalable software modules for analytics. Support data scientists and ensure data quality while utilizing modern technologies.

The Data Engineer will design, build, and maintain data pipelines and infrastructure, ensuring high-quality data processing and collaborating with teams to meet data needs.

The Data Engineer will design, develop, and deploy scalable data architecture solutions, collaborate with stakeholders, and support ETL processes.

Data Engineer responsible for designing scalable data orchestration processes, optimizing data storage, and building various components of the Protege platform.

As a Data Engineer, you will develop and maintain data pipelines, optimize data integration processes, and support large healthcare datasets, using various tools including Python and AWS services.

As a Data Engineer, you will implement ETL processes, develop data models, and collaborate with teams to enhance data insights for business decisions.

The Data Engineer will design and develop ETL pipelines, data visualizations, and ensure data integrity from multiple sources, enhancing decision-making processes.

The Principal Data Engineer will lead the design and implementation of large-scale data processing systems, mentor teams, and drive technical initiatives.

As a Data Engineer, you will design and build data processing pipelines, collaborate across teams, and ensure data accuracy and integrity while developing scalable applications.

The Sr GenAI Data Engineer will develop Generative AI applications, collaborate with data scientists, integrate AI technologies, and optimize application performance to enhance member experiences.

Develop and operationalize data pipelines for reports and analytics, ensuring data quality and efficiency while collaborating with DevSecOps.

Lead the development of data management tools by collaborating across Agile teams, utilizing cloud technologies, and mentoring engineers to support large-scale applications in a remote environment.

The Customer Data Engineer will build integrations, automate data workflows, ensure data accuracy, and support school operations by collaborating with stakeholders.

As a Senior Data Engineer/Scientist, you'll design and maintain data pipelines, collaborate with analytics teams, and leverage SQL and Python for data manipulation, building ETL pipelines, and integrating datasets for insightful analytics.

Design, implement, and manage database systems for blockchain data, focusing on extraction, cleaning, transformation, and integration of on-chain and off-chain data. Optimize performance and ensure data security.