Senior Data Engineer

We9re looking for a hands-on Senior Data Engineer to take a leading role in architecting, designing, building, and evolving our AWS12based data platform. This is not a maintenance role-you9ll have meaningful technical ownership and influence over how data is architected, processed, and delivered across our systems and product suite. You9ll 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, you9ll 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: 022 Analyze large, and complex, data sets 022 Design, develop and coordinate the generation of Data Pipelines 022 Work collaboratively with team to plan and solve complex problems 022 Design for, or optimize existing pipelines, for performance and cost Qualifications: 022 Expert Python & SQL Developer 022 Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) 022 Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) 022 Strong Automation Experience 022 Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) 022 Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod Management) 022 Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy) 022 Experience with Agentic AI (LangGraph, MCP Servers, Agent Frameworks) 022 Experience with Data Handling (Pandas / NumPy, Apache Spark, Ray) Preferred Qualifications (Nice to Have) 022 Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector Databases 022 Experience with Automotive Data / Industry 022 Experience with Agile / Scrum Why Join MOTOR 022 Work on high-impact data products used across the automotive industry 022 Real ownership and influence over platform direction 022 Backed by Hearst-stable, but with room to innovate 022 Collaborative team solving meaningful, complex problems Additional Details 022 Hybrid schedule: 3 days onsite in Troy, MI 022 No visa sponsorship available at this time