Top Information Technology Data Engineering Jobs in Austin, TX

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

The role involves building and optimizing data foundations for Visa Marketing 360, integrating data sources, and developing models for marketing analytics using AI and data engineering best practices.

The Data Engineer III will design and develop data applications, oversee multiple projects, and ensure smooth operations of data solutions. Responsibilities include BI administration, system performance monitoring, and maintaining CI/CD pipelines.

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.

Lead the analytics function for autonomous driving, focusing on evaluation, experimentation, mentoring analysts, and building automated analysis pipelines.

The Data Engineer will design and maintain data pipelines, optimize SQL queries, implement data workflows, and ensure data quality. The role demands collaborative problem-solving and technical communication skills to support analytics and business intelligence efforts.

The Data Integration Engineer will design and implement data integration solutions across cloud data platforms, collaborating with teams to ensure optimal data models and supporting analytics and AI initiatives.

The role involves writing and deploying scripts for data collection, transforming data sets, diagnosing bugs, and collaborating with other engineers using agile principles.