Full-Stack Data Engineer
Listed on 2026-02-03
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Software Development
Data Engineer, Software Engineer
Job Description
FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS
MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who possesses a strong passion for designing, optimizing, refactoring, and upgrading complex data solutions. MOTOR’s primary product is Automotive Content, and we need someone who can help us support our Insights-based product suite.
We are looking for someone who wants to be part of our mission to transform the future. We have a rare opportunity for you to use your talent, passion, and expertise to help drive this massive change in how we build our user experience across our product lines, and how consumers experience the MOTOR Product Platform.
This position offers excellent career growth and promotional opportunities, stellar compensation, and the ability to work with the world's premier provider of aftermarket automotive data. Hearst/MOTOR Information Systems will be the best and last place you’ll ever work!
Required Experience (Must Have)- Expert Python Developer
- Strong SQL Developer
- Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, Red Shift)
- Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet)
- Strong Automation Experience
- Experience with Databricks (Delta Lake, Notebooks, SQL Analytics)
- Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod Management)
- Experience with Dev Ops, CI/CD, Deployment Orchestration (Octopus Deploy)
- Experience with Git and Azure Dev Ops
- Experience with Agentic AI (Lang Graph, MCP Servers, Agent Frameworks)
- Experience with Data Handling (Pandas / Num Py, Apache Spark, Ray)
- Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector Databases
- Experience with Automotive Data / Industry
- Experience with Agile / Scrum
- Analyze large, and complex, data sets
- Design, develop and coordinate the generation of Data Pipelines
- Work collaboratively with team to plan and solve complex problems
- Design for, or optimize existing pipelines, for performance and cost
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