Data Engineer II - ABS Data Analytics & Finance Reporting
Listed on 2025-12-27
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IT/Tech
Data Engineer
Data Engineer II - ABS Data Analytics & Finance Reporting
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.
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 help the ABS reporting team in building and maintaining reliable and scalable data pipelines. It 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.
The role involves a high level of coordination with other departments and third‑party software vendors.
- Work with internal business partners to identify, capture, collect, and format data from external sources, internal systems and the data warehouse to extract features of interest.
- Contribute to evaluation, research, and experimentation with batch and streaming data engineering technologies.
- Work with data‑engineering related groups to showcase emerging technologies and enable their adoption.
- Coordinate with Privacy Compliance to ensure proper data collection and handling.
- Create and implement business rules and functional enhancements for data schemas and processes.
- Perform data load monitoring and resolution.
- Work with internal business clients to solve data availability and activation issues.
- Experience with processing large data sets using Hadoop, HDFS, Spark, Kafka, Flume or similar distributed systems.
- Experience ingesting various source data formats such as JSON, Parquet, Sequence File, Cloud Databases, MQ, relational databases such as Oracle.
- Experience with cloud technologies (Azure, AWS, GCP) and native toolsets such as Azure ARM Templates, Hashicorp Terraform, AWS Cloud Formation.
- Understanding of hybrid cloud computing and cloud delivery models.
- Knowledge of object storage technologies including Data Lake Storage Gen2, S3, Minio, Ceph, ADLS.
- Experience with containerization (Docker, Kubernetes, Spark on Kubernetes, Spark Operator).
- Working knowledge of Agile development / SAFe Scrum and application lifecycle management.
- Strong background with source control (Git, Subversion), build systems (Maven, Gradle), code quality tools (Sonar), artifact repositories (Artifactory), CI/CD (Azure Dev Ops).
- Experience with No
SQL stores such as Cosmos
DB, Mongo
DB, Cassandra, Redis, Riak or similar. - Creating and maintaining ETL processes.
- Knowledgeable of best practices in IT governance and privacy compliance.
- Experience with Adobe solutions (Experience Platform, DTM/Launch) and REST APIs.
- Strong problem‑solving skills and ability to work across teams.
- Excellent computer skills and proficiency in digital data collection.
- Ability to work in an Agile/Scrum team environment.
- Strong interpersonal, verbal, and writing skills.
- Knowledge of digital technology solutions (DMPs, CDPs, tag management, cross‑device tracking, SDKs).
- Knowledge of real‑time CDP and journey analytics solutions.
- Understanding of big data platforms and architectures, data streaming pipelines, data lake and lakehouse.
- SQL experience and ability to generate insights.
- Understanding of GDPR, privacy and security topics.
- 2–4 years of hands‑on experience with data engineering.
- Bachelor’s Degree in a related field or equivalent experience.
Generous benefits package available on day one, including 401(k) matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our CultureOur team members shape our culture—an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work—we thrive.
CompensationCompetitive pay and bonus eligibility.
Work Life BalanceFlexible hybrid work environment with a minimum of 2 days a week in the Fort Worth office.
Seniority LevelMid‑Senior level.
Employment TypeFull‑time.
Job FunctionInformation Technology.
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