Data Engineer II - ABS Data Analytics & Finance Reporting

NOTE: We are unable to offer visa sponsorship now or in the future for this position  

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 

About the role:  
 

The ABS Data Engineer II is a critical technical role within the GMF North America Securitization and Conduit Reporting team.  This position will be helping ABS reporting team in building and maintaining reliable and scalable data pipelines. This position will leverage your expertise in Python, SQL, and Azure cloud technologies to extract, transform, and load data efficiently, enabling seamless data access and analysis for accounting business users. This position involves a high level of coordination with other departments and third-party software vendors. 

In this role you will:

• Work 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