Top Data Engineer Jobs in Austin, TX

The Staff Data Engineer will design and optimize data infrastructure, support multiple teams, and ensure data quality and integrity across projects.

As a Senior Data Engineer, you will develop and maintain ETL pipelines, design scalable systems, troubleshoot production issues, and mentor team members while ensuring best practices are followed.

The Senior DataOps Engineer will design, implement, and optimize cloud data operations pipelines, ensure seamless analytics service integration, and mentor junior engineers.

As a Data Engineer at Sporty, you will design and maintain data pipelines, ensure data quality, and work on data applications and architectures for machine learning initiatives.

Develop and implement analytics infrastructure and data pipelines, create dashboards, integrate systems, maintain cloud infrastructure, and coordinate projects.

The role involves designing and building platforms for new products, developing AI features, ensuring system reliability, and fostering an inclusive culture. Requires full-stack experience and a commitment to improving healthcare.

As a Data Engineer, you will build data pipelines, architect data models, and deliver reporting practices to support decision making and business analytics.

The Data Engineer designs, develops, and maintains data pipelines, collaborates with teams to improve models, and monitors data quality.

As a Support Data Engineer II, you will help resolve database application issues, manage alerts, and ensure performance in a 24/7 Linux environment.

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.

The Senior Big Data Engineer will build and optimize frameworks for data analysis, collaborating with teams to ensure project requirements are met.

The Cloud Data Engineer will plan, build, and implement Azure data infrastructure and software solutions, collaborating with stakeholders and managing data migrations.

The Data Engineer will design, implement, and maintain data infrastructure and pipelines, collaborating with cross-functional teams to ensure data integrity and accessibility.

As a Senior Data Engineer at Fi, you'll develop scalable data infrastructure, build data pipelines, and support machine learning models for connected pet technology.

The Sr. Data Engineer will perform data engineering on Hadoop and Greenplum, manage large datasets, utilize Big Data tools, and ensure compliance with IT security and architecture.

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.