Full-Stack Data Engineer

About the role

MOTOR Information Systems, an operating group of Hearst, is seeking a Full-Stack Data Engineer. The ideal candidate is a hands-on data engineer with a strong passion for designing, optimizing, refactoring, and upgrading complex data solutions.

Responsibilities

• 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

Requirements

• Expert Python Developer
• Strong SQL Developer
• Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift)
• 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 DevOps, CI/CD, Deployment Orchestration (Octopus Deploy)
• Experience with Git and Azure DevOps
• Experience with Agentic AI (LangGraph, MCP Servers, Agent Frameworks)
• Experience with Data Handling (Pandas / NumPy, Apache Spark, Ray)

Qualifications

• Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector Databases
• Experience with Automotive Data / Industry
• Experience with Agile / Scrum

Skills

• Python Developer
• SQL Developer
• AWS Experience
• Semi-Structured Data
• Automation
• Databricks
• Kubernetes
• DevOps
• CI/CD
• Git
• Azure DevOps
• Agentic AI
• Data Handling

Benefits

• Excellent career growth and promotional opportunities
• Stellar compensation
• 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!

Pay

Compensation details are confidential and not specified in the job description.

Schedule

Schedule details are confidential and not specified in the job description.