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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** GM Financial - **Location:** Fort Worth, TX, United States - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Adobe Experience Manager, Agile Methodology, Amazon Web Services, Amazon S3, Application Lifecycle Management, Microsoft Azure, Big Data, Cloud Computing, Cloud Database, Cloud Engineering, Software Quality, Continuous Delivery, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Security, Data Stores, Data Warehousing, Relational Databases, Digital Technology, Distributed Systems, Gradle, Apache Hadoop, Hadoop Distributed File System, Infrastructure as a Service (IaaS), JSON, Python (Programming Language), Apache Maven, MongoDB, NoSQL, Oracle (Applications), Platform as a Service (PAAS), Scrum Methodology, Redis, Cloud Services, Riak, SONAR (Symantec), SQL Databases, Data Streaming, Subversion, Tag Management, Virtualization Technology, Ceph (Software), Parquet, Google Cloud, Cloud Platform System, Marklogic, Apache Spark, HybridCloud, Git, Adobe, Data Lakes, Webpack, Apache Flume, Kubernetes, Storage Technologies, Cassandra, Hashicorp, Apache Kafka, Build Tools, Cosmos DB, Restful APIs, Terraform, Software Version Control, Data Pipelines, Artifactory - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=6cdd88a05bdf3bdd ## About the Role * 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 requiredBachelor's Degree in related field or equivalent experience required * ## Description 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 ## Related Videos - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)