Top Data Engineer Jobs in San Antonio, TX

The Sr. Data Engineer will lead a team to develop and modernize scalable data processing systems for government partners, focusing on user-friendly experiences.

The Senior Data Engineer will design and maintain data pipelines, ensure data quality, and collaborate closely with analytics teams using modern technologies like Databricks and AWS services.

Design and operate distributed data systems for large-scale data ingestion, processing, and transformation. Collaborate with ML researchers for data preparation and ensure data quality and scalability.

Lead the design and development of web applications, data pipelines, and AI systems, integrating data, mentoring engineers, and ensuring high-quality software delivery.

The Senior Data Engineer will design, develop, and maintain scalable cloud data infrastructure, optimizing data handling and collaborating across teams to enhance data strategies and quality.

As a Senior Software Engineer - Data, you'll create scalable data infrastructure, manage event-driven pipelines, and enhance collaboration between engineering and analytics teams.

Design and implement a real-time data pipeline, migrate to cloud-based architecture, and collaborate on a technical roadmap with engineering teams.

The Senior Software Engineer - Data will design, manage, and optimize data pipelines, ensuring reliable data flow from applications to analytical services while mentoring engineering teams and collaborating with analytics engineers.

As a Senior Data Engineer, you will build data lakes, develop scalable pipelines, ensure data integrity, and mentor team members while optimizing data quality and performance.

Design and build ETL/ELT data pipelines using Python and Snowflake, manage data workflows, and support analytics through Power BI dashboards.

As a Data Engineer, you will design and maintain data pipelines for Oracle EPM applications, provide system support, optimize performance, and collaborate with stakeholders.

The Staff Data Engineer will lead architectural decisions and modernize legacy systems, ensuring high performance of Revecore's data platforms.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The Senior Software Engineer will own large-scale data mining workflows, improve ML products through high-quality datasets, and analyze model performance across driving scenarios.

Design, build, and support features for developers, ensuring reliability and scalability of systems, and contributing to product direction.

As a Staff Software Engineer focused on Scylla, you'll optimize performance, manage data infrastructure, collaborate on services, and debug production systems.

Staff Data Engineers lead data engineering projects, collaborating across teams, mentoring juniors, and optimizing data pipelines to meet client needs.

Senior Data Engineers build and manage data engineering solutions, collaborate across teams, mentor other engineers, and ensure project alignment with business outcomes.

The Principal Engineer - Data Science leads engineering processes, provides technical consultation, and supports project management while mentoring engineers and driving technical innovations.

The Lead Data Engineer will manage the AI Data Platform, architecting data infrastructures, developing data pipelines, ensuring data quality, and collaborating with AI and engineering teams to enhance diagnostic tools in healthcare.

The Lead Data Engineer will manage the AI Data Platform, scale data pipelines, ensure data quality, and lead technical strategy for data initiatives.

As a Senior Data Engineer, you will develop and maintain scalable data solutions, ensuring efficiency and reliability in data processing and engineering high-performance solutions for analytics.

The Software Engineer will implement data ingestion for Phare's platform, integrate with healthcare systems, design data pipelines, and ensure data integrity while collaborating with various teams.

Transform raw data into trusted datasets; build and optimize data pipelines; integrate customer data; ensure data quality and reliability.

The Senior Software Engineer, Data will design and maintain data pipelines, develop data products, and enhance product analytics capabilities, ensuring data quality and consistency.