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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** All Views LLC - **Location:** Troy, MI, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Continuous Integration, Data Files, Data Infrastructure, DevOps, Data Intelligence, JSON, NumPy, Octopus Deploy, Scrum Methodology, SQL Databases, Extensible Markup Language (XML), Parquet, Data Processing, Large Language Models, Multi-Agent Systems, Apache Spark, State Machines, Cloudformation, Pandas, Data Lakes, Semi-structured Data, Kubernetes, AWS Fargate, Virtual Agents, Network Server, Data Pipelines, Amazon Redshift, Databricks - **Published:** August 21, 2026 - **Apply:** https://www.careerjet.com/job/us897e260921cbe0c811f010ec184e520c/eaa ## About the Role 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) Helpful Experience (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 ## Description 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., * 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 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Vectorize all the things! 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