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Media, Publishing, Information Services, Automotive

Senior Data Engineer

Troy, MIHybridFull TimeSeniorPosted 13 days ago

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Required skills

  • large-scale
  • complex data challenges
  • scalability
  • reliability
  • performance
  • cost efficiency
  • technical ownership
  • platform direction
  • modern data architecture
  • intelligent data architecture

Nice to have

  • LLMs
  • Machine Learning
  • Deep Learning Libraries
  • AI Application Frameworks
  • Vector Databases
  • Automotive Data

Role summary

MOTOR is seeking a Senior Data Engineer to architect, design, build, and evolve its AWS-based data platform. This role involves tackling large-scale data challenges, driving architectural decisions, and establishing engineering best practices for scalability, reliability, performance, and cost efficiency. The Senior Data Engineer will provide technical guidance and mentorship, contributing to a modern, scalable, and intelligent data architecture. Responsibilities include analyzing complex datasets, designing and developing data pipelines, and optimizing them for performance and cost. The position is hybrid, requiring 3 days onsite in Troy, MI, and does not offer visa sponsorship.

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
  • Ready to apply?
    You'll be redirected to Hearst's application page.

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