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Senior Data Engineer

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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.

What You’ll Do

  • 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

Skills

What Senior Data Engineering jobs ask for — and how much of it you have →
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See also

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