Top Data Engineer Jobs in San Antonio, TX

As a Senior Data Architect/Sr. Data Engineer, you will organize and optimize healthcare data assets, build scalable data pipelines, develop robust data architecture, and ensure data quality while collaborating cross-functionally to enhance patient outcomes.

The Senior Data Engineer will orchestrate data engineering solutions, manage ETL processes, troubleshoot data integrity issues, and collaborate with teams to deliver cohesive data architectures and integrations.

The Data Engineer designs, builds, and maintains data pipelines for the Department of Veterans Affairs, ensuring data accessibility and quality while collaborating with stakeholders.

The Principal Cloud Data Engineer designs and maintains data pipelines using GCP BigQuery, ensuring data quality and leading a team of engineers while implementing best practices.

The Senior Cloud Data Engineer designs, builds, and maintains data pipelines in GCP, ensuring data quality and supporting decision-making across the organization. Responsibilities include optimizing performance, automating tasks, and collaborating with data teams.

The Data Engineer will design and develop database systems, manage data pipelines, and mentor junior teammates while ensuring project delivery meets standards.

As a Senior Data Engineer, you will design data transformation pipelines, automate data capture, and ensure data quality, collaborating with R&D and engineering teams.

The Data Engineer will design and optimize data pipelines, integrate database systems, and automate workflows while collaborating with team members to ensure data accessibility and quality.

The Data Engineer will design, develop, and optimize ETL pipelines using Matillion and Snowflake, ensuring data quality and performance while collaborating with cross-functional teams.

Lead the design and implementation of data processing platforms, optimize data pipelines, mentor data engineering teams, and support cross-functional collaboration.

Design, construct, and deploy data processing pipelines using machine learning and data mining techniques. Analyze client data, develop algorithms, and extract insights from various data sources.

The Data Engineer will develop and architect data solutions in Azure, manage data migrations, and consult on database administration while collaborating with various teams.

Lead a team of data engineers to oversee client deployments, develop robust data pipelines, and contribute to architecture and strategy, ensuring high-quality data solutions.

The Staff Data Engineer will design and optimize streaming data solutions, manage existing data systems, evaluate new technologies, and ensure compliance with data regulations.

The Senior Data Engineer will design, develop, and optimize data platforms, ensuring high performance and scalability, while mentoring team members and driving operational excellence.

As a Data Engineer, you will develop solutions on AWS, optimize SQL queries, and automate data processes while collaborating with cross-functional teams.

The role involves developing and optimizing data pipelines, collaborating with engineering teams, and supporting data scientists with engineering needs.