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 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
What makes you an ideal candidate?
- Experience with processing large data sets using Hadoop, HDFS, Spark, Kafka, Flume or similar distributed systems
- Experience with ingesting various source data formats such as JSON, Parquet, SequenceFile, Cloud Databases, MQ, Relational Databases such as Oracle
- Experience with Cloud technologies (such as Azure, AWS, GCP) and native toolsets such as Azure ARM Templates, Hashicorp Terraform, AWS Cloud Formation
- Thorough understanding of Hybrid Cloud Computing: virtualization technologies, Infrastructure as a Service, Platform as a Service and Software as a Service Cloud delivery models and the current competitive landscape
- Working knowledge of Object Storage technologies to include but not limited to Data Lake Storage Gen2, S3, Minio, Ceph, ADLS etc
- Experience with containerization to include but not limited to Dockers, Kubernetes, Spark on Kubernetes, Spark Operator
- Working knowledge of Agile development / SAFe Scrum and Application Lifecycle Management
- Strong background with source control management systems (GIT or Subversion); Build Systems (Maven, Gradle, Webpack); Code Quality (Sonar); Artifact Repository Managers (Artifactory), Continuous Integration/ Continuous Deployment (Azure DevOps)
- Experience with NoSQL data stores such as CosmosDB, MongoDB, Cassandra, Redis, Riak or other technologies that embed NoSQL with search such as MarkLogic or Lily Enterprise
- Creating and maintaining ETL processes
- Experience with Adobe solutions (ideally Adobe Experience Platform, DTM/Launch) and REST APIs
- Digital technology solutions (DMPs, CDPs, Tag Management Platforms, Cross-Device Tracking, SDKs, etc.)
- Knowledge of Real Time-CDP and Journey Analytics solutions
- Understanding of big data platforms and architectures, data stream processing pipeline/platform, data lake and data lake houses
- SQL experience: querying data and sharing what insights can be derived
- Understanding of cloud solutions such as Google Cloud Platform, Microsoft Azure & Amazon AWS cloud architecture & services
- Understanding of GDPR, privacy & security topics
Experience
- 0-2 years of hands on experience with data engineering required
- Bachelor’s Degree in related field or equivalent experience required
What We Offer: Generous benefits package available on day one to include: 401K 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 Culture: Our team members define and 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.
Compensation: Competitive pay and bonus eligibility
Work Life Balance: Flexible hybrid work environment, minimum of 2-days a week in office in Fort Worth, Texas
Please note we are not able to provide visa sponsorship either now or in the future for this position.
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Top Skills
What We Do
GM Financial is the captive finance company and the wholly owned subsidiary of General Motors and is headquartered in Fort Worth, Texas. The company is a global provider of auto finance solutions, with operations in North America, Latin America and China. Through our long-standing relationships with auto dealers, we offer attractive retail loan 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. GM Financial employs more than 9,000 hard-working team members, and we're always looking for new people with diverse talents. GM Financial is a workplace where dedicated people have the opportunity to work together and celebrate our successes. Our culture is based on respect, integrity, innovation and personal development. GM Financial is committed to strengthening the communities where we live and work. Each year, we select several philanthropic organizations to support through our Signature Events program. The company and its team members actively support these organizations through many company-wide initiatives; in addition we support numerous other nonprofit organizations through sponsorships and monetary donations.
