10/18/2026

Data Engineer

Job Description

Why GM Financial?

GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America, and the Asia Pacific region. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses.

At GM Financial, our team members define and shape our culture — an environment that welcomes new ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.

Our Purpose:  We pioneer the innovations that move and connect people to what matters.

This position will be posted until filled. 

NOTE: We are unable to consider candidates who require visa sponsorship now or in the future for this position. 

About the role:

This role focuses on designing, integrating, and managing data pipelines that collect, transform, and monitor data from internal and external sources to support business and analytics needs. The position collaborates with business stakeholders, data engineering teams, and privacy compliance partners to implement scalable data solutions, improve data processes, and evaluate emerging technologies that drive innovation and operational efficiency.

In this role you will:

  • Work with internal business partners to identify, capture, collect, and format data from the external sources, internal systems and the data warehouse to extract features of interest
  • Contribute to the evaluation, research, experimentation efforts with batch and streaming data engineering technologies in a lab to keep pace with industry innovation
  • Work with data engineering related groups to inform on and showcase capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques
  • Coordinate with Privacy Compliance to ensure proper data collection and handling
  • Create and implement business rules and functional enhancements for data schemas and processes
  • Coordinate with Privacy Compliance to ensure proper data collection and handling
  • Perform data load monitoring and resolution
  • Work with internal business clients to problem solve data availability and activation issues

Apply Now