Top Senior Level Data Engineer Jobs in Austin, TX

The Data Center Selection Manager will improve colocation sites, manage vendor relationships, and oversee the negotiation and execution of contracts for infrastructure growth.

The Senior Data Engineer will build technology and pipelines for onboarding raw datasets into a multicloud data lakehouse, ensuring high quality and best practices are maintained through the development cycle.

The Data Engineering Manager will lead and mentor a team in developing and managing enterprise data solutions, including ETL/ELT pipeline development, data warehouse administration, and workflow orchestration. This role involves strategic planning and communication with stakeholders to enhance data quality and operational efficiency, while supporting the team members' professional development.

In this role, you will manage data infrastructure and create efficient ETL pipelines, ensuring data from multiple sources is well-organized and available for analysts. You will collaborate with cross-functional teams to drive process improvements and implement scalable solutions, all while maintaining documentation of data handling practices.

As a Senior Staff Data Engineer at Findhelp, you'll enhance data integration processes and maintain scalable data pipelines. Responsibilities include data syncing, API integration, database design, incident resolution, and optimizing production systems to ensure data integrity and performance.

The Senior Data Engineer at Restaurant365 will lead the execution of the data lake and warehouse, develop data pipelines, and partner with stakeholders for analytic solutions. The role involves improving workflows and ensuring data quality while adopting Agile practices. The candidate should have extensive experience in data engineering, business intelligence, and familiarity with modern data architectures and cloud technologies.

The Staff Data Engineer will develop AI platforms, improve codebases, design data-driven solutions, and collaborate with cross-functional teams to support machine learning initiatives.