Top Data Engineering Jobs in Austin, TX

The Senior Data Engineer will develop data engineering solutions, manage ETL workflows, and establish a new data practice while collaborating with stakeholders.

The DMS Data Engineer is responsible for analyzing raw data, building data systems and pipelines, conducting complex data analyses, and collaborating on projects to enhance data quality and reliability.

The Director of Machine Learning Science will lead teams in delivering ML solutions, drive innovation in search and personalization, and engage with engineering and product teams.

As a Data Engineer, you will build and optimize data pipelines, manage ETL workflows, and ensure efficient data access and quality within the infrastructure.

Lead and expand Data Acquisition teams, building and maintaining data pipelines and services for healthcare while collaborating with product management and engineering teams.

The Data Architect will lead database management, conduct data analysis, and work with stakeholders to align data requirements with business objectives.

The role involves engineering consumer-level attributes, applying statistical techniques, building dashboards, and collaborating with various teams to enhance credit-related decisions based on data insights.

The Manager of Data Engineering will lead the data engineering team, oversee data pipeline design and implementation, manage data governance, and ensure data quality while driving team professional growth.

Develop custom R programming code for PK/PD analyses, ensuring data quality and compliance with CDISC standards while training others and improving programming tools.

As a Data Conversion Specialist, you will manage data extraction, transformation, and loading for client migrations to improveit 360 or MarketSharp, ensuring accuracy, timely conversion, and customer satisfaction.