Senior Data Engineer
Indexed description
The Opportunity
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.
Required Experience (Must Have)
- 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)
- 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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