Top Data Engineer Jobs in San Antonio, TX

The Data Engineer will design and implement data science capabilities using Azure and Databricks, focusing on data processing, identity resolution, and advanced analytics support.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

As a Staff AI Data Engineer, you will build and maintain data pipelines for ML/AI tools, ensuring high-quality datasets and collaborating with data scientists to enhance mental health care.

As an AI/LLM Data Engineer, you'll drive innovation in AI model applications, focusing on prompt engineering, system design, and data analysis, while collaborating with cross-functional teams.

The Data Engineer will develop and optimize ETL pipelines and systems in Google Cloud Platform, collaborating with engineers and scientists to support B2B data solutions.

The Senior Data Engineer will create scalable data pipelines and manage unstructured data for AI/ML workflows, ensuring data quality and supporting data solutions. Collaboration with cross-functional teams to meet business and security objectives is key.

As a Senior Data Platform Engineer, you will develop tools for data quality checks, enhance data lineage framework, and improve data infrastructure performance.

The Python-ETL Data Developer will assist in onboarding client data into MySQL, support Snowflake offerings, and improve documentation. Key skills include Python and database experience.

The Senior Data Engineer will design and maintain scalable data systems, optimize workflows, ensure data quality, and mentor other engineers while collaborating across teams to enhance data access and product performance.

Design and maintain scalable data pipelines, collaborate with cross-functional teams, manage data architectures, optimize Snowflake performance, and enhance data workflows.

As a Staff Software Engineer, you'll lead the development of data infrastructure services, optimizing performance and reliability on AWS while building APIs and frameworks for data handling.

Design, harden, and operate the distributed data systems for analytics and machine learning at Zocdoc, ensuring reliability, security, and performance at scale.

The Senior Software Engineer will enhance Doximity's data platforms, collaborating with data teams to resolve challenges, and implement solutions to improve the data stack.

As a Senior Data Platform Engineer, you will oversee the administration of Databricks and AWS, manage data engineering dev ecosystems, collaborate with teams on data needs, and mentor junior staff.

This role involves building and maintaining data pipelines, automating processes, and collaborating with teams to improve data quality and infrastructure.

Starburst seeks a Senior Software Engineer to improve its data ingestion and transformation platform, focusing on building scalable systems using Java, and distributed technologies like Trino and Apache Iceberg. You'll collaborate with teams to design features and maintain high standards for software development.

The Senior Data Engineer will build and maintain analytics infrastructure, develop ETL processes, integrate data sources, mentor team members, and optimize data architecture.

Lead the technical vision for the Data Platform team, focusing on building scalable infrastructure and providing mentorship across engineering teams.

Design and implement scalable data orchestration and processes, optimize data operations, and support building various platform areas.

Lead technical discussions and design products based on vehicle telematics data. Collaborate with teams, ship features, and ensure customer satisfaction using real-time data insights.

As a Data Warehouse Engineer, you'll build reusable internal data products, design scalable pipelines, and collaborate with stakeholders for actionable insights.

You will collaborate on integrations, participate in code reviews, and troubleshoot complex problems while working within a team.

The Data Engineer will design and maintain ETL pipelines and data storage solutions, collaborating with cross-functional teams to ensure efficient data processing and delivery.

Lead architect and development of AI-driven data infrastructures. Design data pipelines and systems for ML model training and semantic search capabilities.

Design and build data integration frameworks and pipelines while ensuring data accuracy and resolving management issues, collaborating with DevOps and data scientists.