Top Data Engineer Jobs in San Antonio, TX

As a Data Engineer, you'll manage data access, support development and analytics teams, implement automated processes, engineer data pipelines, and ensure data accuracy.

As a Data Engineer at Swan, you will design and build a data infrastructure, manage data quality, and collaborate with teams to ensure data governance and integrity.

The Senior Data Engineer will build scalable data pipelines to process data, support platform efficiency, and enable smart analytics at Netflix.

As a Python engineer on the data platform team, you'll enhance tools for data pipelining and analytics, collaborate with teams to address challenges, and improve software engineering culture at Doximity.

As a Data Engineer, you'll design, develop, and maintain data pipelines and collaborate with stakeholders to ensure data infrastructure meets their needs, while championing best practices in software engineering.

Lead the implementation of AML detection pipelines using Palantir Foundry. Train team members in technical skills and oversee data architecture and maintenance.

The Data Engineer designs and maintains data pipelines, optimizes data flow, collaborates with data scientists, and enhances observability. Requires strong Python and SQL skills and experience with data lake architectures.

The Senior Data Center Linux Engineer manages Linux servers, troubleshoot issues, develops automation scripts, ensures secure configurations, and deploys containerized applications.

The Sr. Network Data Center Engineer will design and manage network infrastructure, ensuring high availability, security, and performance for virtual environments and storage systems.

The role involves building data infrastructure, maintaining ETL pipelines, collaborating with analysts, and improving data models and processes.

Design, build, and maintain scalable data pipelines and infrastructure. Collaborate with data scientists to ensure efficient data processing and analytics solutions.

The Data Engineer will design, build, and maintain data platforms for financial services, developing pipelines, ensuring compliance, collaborating with teams, and optimizing systems.

The Azure Data Engineer will design and implement data pipelines using Azure tools, optimize workflows, and ensure data quality. Responsibilities include collaborating with teams, building ETL workflows, and maintaining data governance policies.

Build and operate a large scale data platform for real-time data distribution for crypto exchanges. Collaborate with teams and mentor members.

Collaborate to build and operate data services, manage data integration processes, and ensure data security and observability.

As a Backend Software Engineer at Coinbase, you will develop and maintain cloud provisioning services, manage projects, and mentor team members, focusing on scalable blockchain infrastructure solutions.

The Senior Software Engineer will design and implement backend infrastructure for a Web3 data platform, mentoring team members and managing project priorities.

As a Data Engineer, you will build and optimize data pipelines, manage ETL workflows, and ensure efficient data access and quality within the infrastructure.

The Senior Data Engineer designs and maintains data platforms and ETL pipelines, mentors peers, and leads complex projects to enhance community civic engagement.

The Data Engineer will maintain and enhance data pipelines and manage third-party integrations in Azure and Databricks environments.

As a Senior Software Engineer, you'll architect systems, develop ETL pipelines, and design data models to support blockchain data analysis at petabyte scale. You'll collaborate with teams to enhance product offerings while ensuring high performance and availability.

Design and deploy data processing pipelines, analyze data to extract insights, and develop software systems for data management and privacy.

The Data Engineer will work on data migration and transformation in an Azure environment, developing designs, securing data transfers, and conducting data profiling.

Design, build, and maintain secure data pipelines, optimize data models, ensure compliance, and troubleshoot data quality issues.

The Azure Data Platform Solution Architect designs, develops, and implements data solutions using Azure technologies, ensuring optimal performance and delivery across the enterprise.