Top Data Engineering Jobs in Austin, TX

Design and operate petabyte-scale data infrastructure: build high-throughput streaming pipelines, architect a tiered Data Lakehouse, automate orchestration and backfills, optimize embedded team data schemas, manage Kubernetes stateful deployments, and enforce data quality, governance, and access controls.

The Senior Data Engineer will design, build, and maintain scalable party data solutions, integrating cloud-native platforms and improving legacy systems while mentoring junior engineers.

Lead the architecture and optimization of our Databricks Lakehouse, ensuring high-quality data for retail analytics while mentoring a team of engineers.

Lead the North America Analytics team at Visa, developing machine learning models and analytics strategies to combat fraud while managing customer relationships and team performance.

The Data Specialist will develop databases, apply data modeling techniques, manage performance data, and advise on data warehousing and integration issues.

The Cloud Engineer will design, deploy, and maintain Azure-based solutions, collaborating with teams to ensure effective cloud service implementation and management.

As a Senior Data Engineer, you will collaborate to build Data Warehouse Solutions, develop data products, and optimize data processes using tools like dbt and Airflow. You'll ensure data integrity and work with various stakeholders to translate business requirements into technical solutions.

The Senior Analytics Engineer will design and maintain data models, oversee the ELT process, ensure data quality, and collaborate with various teams to support analytic needs and governance practices.

The Senior Manager, Data Engineering & Data Platform will lead the transformation of a data platform to BigQuery, manage a data engineering team, and ensure data quality and cost optimization. Responsibilities include project ownership, implementation of ingestion strategies, governance, and leading the migration from legacy SQL systems to modern cloud solutions.

This role involves designing and maintaining data pipelines, creating dashboards, and collaborating with stakeholders to drive analytics solutions for external data products.