Senior Data Engineer

Job Description

Senior DATA ENGINEER at MOTOR INFORMATION SYSTEMS

MOTOR is the industry leader in automotive data and insights. We power the aftermarket ecosystem with some of the most comprehensive datasets in the world—and we’re investing heavily in modernizing our data platform to support the next generation of products and AI-driven capabilities.

We’re looking for a hands-on Senior Data Engineer to take a leading role in architecting, designing, building, and evolving our AWSbased data platform. This is not a maintenance role—you’ll have meaningful technical ownership and influence over how data is architected, processed, and delivered across our systems and product suite.

You’ll tackle large-scale, complex data challenges while driving architectural decisions, establishing engineering best practices, and designing solutions for scalability, reliability, performance, and cost efficiency. As a senior member of the team, you’ll collaborate across engineering and product, provide technical guidance and mentorship, and help shape the evolution of our platform toward a more modern, scalable, and intelligent data architecture.

• Expert Python & 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 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

• Work on high-impact data products used across the automotive industry
• Real ownership and influence over platform direction
• Backed by Hearst—stable, but with room to innovate
• Collaborative team solving meaningful, complex problems

• Hybrid schedule: 3 days onsite in Troy, MI
• No visa sponsorship available at this time

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