Top Data Engineering Jobs in Austin, TX

Design, build, and maintain ELT pipelines and analytics-ready data models to support reporting, KPIs, and downstream ML use cases; implement data quality, optimize pipeline performance, document lineage, and ensure governance and privacy.

Develop and maintain data pipelines and reporting tools, support real-time processing workflows, and collaborate with teams to enhance platform capabilities, utilizing Java, Python, and Groovy scripts.

The Data Migration Engineer will design and execute SQL-based ETL processes for migrating public safety data, ensuring high-quality data integration and collaboration with internal and external teams.

Lead data architecture and strategy across product, data science, and engineering. Design cloud-centric, scalable data models, ETL/ingestion, governance, and AI/ML-ready analytics. Guide tooling selection, proofs-of-concept, data storage decisions, security/compliance, documentation, and mentor Data Platform team members to operationalize mission-critical data solutions.

Implement client revenue cycle data into company systems by creating and configuring ETL processes, building data transformations and logical/physical schemas, documenting solutions in Jira, attending client meetings, and mentoring team members to ensure post-implementation data integrity.

Lead and build PushPress's data and AI foundation: define data strategy, architect pipelines and warehousing, ensure data quality and governance, enable AI product features, deliver analytics and reporting, and hire and grow a high-performing data team.

Develop and maintain datasets for visualization and machine learning; automate data pipelines; partner with teams to build data products.

Lead design and implementation of data architecture and scalable pipelines (Snowflake, ETL/ELT), enforce data governance and controls, manage secure SFTP transfers, coordinate cross-functional projects, perform data modeling, resolve technical issues, and support integrations with EPM tools like Workday Adaptive Planning. Travel up to 5%.

Design and deploy scalable data infrastructure and models, maintain CDC pipelines, build reporting tools and dashboards, write high-performance SQL, partner with product and engineering to enable enterprise-wide analytics and data-driven decision making.

Lead a data science team to develop insights from autonomous vehicle data, create scalable platforms for data access, and collaborate with cross-functional teams on performance measures.