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 

Position open until filled 

NOTE: We are unable to offer sponsorship for this position  

What makes you a dream 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 

Understanding of cloud computing technologies, business drivers and emerging computing trends 

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 

Knowledgeable of best practices in information technology governance and privacy compliance 

Experience with Adobe solutions (ideally Adobe Experience Platform, DTM/Launch) and REST APIs 

Troubleshoot complex problems and works across teams to meet commitments 

Excellent computer skills and proficiency in digital data collection 

Ability to work in an Agile/Scrum team environment 

Strong interpersonal, verbal, and writing skills 

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 and Education 

Experience with data engineering preferred 

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  

About the role:  
The ABS Data Engineer I, Finance 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. 

JOB DUTIES 

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