Senior Data Engineer

Description

The Opportunity

Help modernize the data platform behind the automotive aftermarket. As Senior Data Engineer at MOTOR Information Systems , you’ll take a leading role in architecting, designing, building and evolving our AWS-based data platform, supporting the next generation of products and AI-driven capabilities.

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 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 our platform toward a more modern, scalable and intelligent data architecture.

Hybrid: This hybrid role is based in our Troy, Michigan office and requires working in the office 3 days per week.

No visa sponsorship is available at this time.

Responsibilities

• Analyze large and complex data sets.
• Design, develop and coordinate the generation of data pipelines.
• Work collaboratively with the team to plan and solve complex problems.
• Design for, or optimize existing pipelines for, performance and cost.
• What You’ll Bring
• Required Qualifications
• Expert Python and SQL developer.
• Strong AWS experience (Lambda, Glue, State Machines, Fargate, CloudFormation, 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 and deployment orchestration (Octopus Deploy).
• Experience with agentic AI (LangGraph, MCP servers, agent frameworks).
• Experience with data handling (Pandas/NumPy, Apache Spark, Ray).
• Preferred Qualifications
• Experience with LLMs, machine learning and deep learning libraries, AI application frameworks and vector databases.
• Experience with automotive data or the automotive industry.
• Experience with Agile/Scrum.

Benefits

• As part of Hearst, MOTOR employees have access to modern, flexible benefits designed to support you and your family. Benefits include:
• Medical, dental and vision coverage
• 401(k) matching
• Emotional wellness support
• Paid time off
• Paid parental leave
• LGBTQ+ health services
• Additional benefits to meet you and your family’s needs