Senior Data Engineer

Hearst · hearst.com

Troy, MI, United States 7 days ago
Workplace
On-site
Location
Troy, MI, United States
Who can apply
Based in the United States: you usually need the right to work there

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About the role

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 AWS¿based 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.

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

Qualifications: • Expert Python & 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 Agentic AI (LangGraph, MCP Servers, Agent Frameworks) • Experience with Data Handling (Pandas / NumPy, Apache Spark, Ray)

Preferred Qualifications (Nice to Have) • Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector Databases • Experience with Automotive Data / Industry • Experience with Agile / Scrum

Why Join MOTOR • 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 Additional Details • Hybrid schedule: 3 days onsite in Troy, MI • No visa sponsorship available at this time

EEO EMPLOYER

About Data Engineer jobs in the United States

Open jobs
739 open Data Engineer jobs in the United States, 131 of them posted in the last 7 days. See all Data Engineer jobs in the United States
Typical advertised pay
$136,000 – $202,000 a year for the middle half of the 354 job ads from 218 employers that state a salary in US dollars (median $162,000). This is base pay as advertised, not total compensation. Data Engineer salary in the United States
Skills the job ads ask for most
  • SQL 79%
  • Python 79%
  • ETL 75%
  • Data modeling 50%
  • Data quality 49%
  • AWS 47%

Share of the 470 newest postings for the role that name each skill. Resume keywords for Data Engineer jobs

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