Top Data Engineer Jobs in Austin, TX

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.

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

As a Staff Data Engineer, you will design and optimize data systems, collaborate with cross-functional teams, and provide technical leadership while ensuring data quality and performance at scale.

As a Lead Data Engineer, you'll architect and maintain data pipelines, ensuring their reliability and scalability, while collaborating closely with AI and data teams.

As a Senior Data Engineer, you will build a centralized data lake on GCP, develop and optimize SPARK-powered data pipelines, and ensure data quality through validation checks. Collaborate with various teams to extract insights and maintain data models for analytics, while managing ETL/ELT processes and troubleshooting data issues.

Lead the creation of a business intelligence data stack, implementing data pipelines and analytics solutions, and collaborating with teams to improve decision-making.

The Senior Data Analytics Engineer is responsible for designing, implementing, and maintaining ETL processes, ensuring data quality, and providing insights to support business growth.

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.

Lead and collaborate on engineering design and development, write maintainable code, and partner with clients to extract requirements and manage projects.

The Senior Data Engineer designs scalable data pipelines, collaborates with teams to address business needs, and ensures data infrastructure reliability.

The Senior Data Engineer will design and implement data solutions for marketing analytics, manage data models, and collaborate with various teams to enhance data accessibility and insights.

As a Data Engineer, you will improve government data architectures and pipelines, optimize data processing, and collaborate with teams to enhance user experience.