HE
HearstSenior Data Engineer
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Before you apply
LocationTroy, MI, United States
Work modehybrid
Typefull-time
SenioritySenior
Company size10,000+ people
First seenOct 18, 2026 · 2w ago
Verified live2w ago
At a glanceSummarised by Seekless from the posting.
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
No visa sponsorship available at this time
Skills
Python
SQL
AWS
AWS Lambda
AWS Glue
AWS Step Functions
AWS Fargate
AWS CloudFormation
AWS Redshift
XML
CSV
JSON
Parquet
Databricks
Delta Lake
Kubernetes
Octopus Deploy
LangGraph
MCP Servers
Pandas
NumPy
Apache Spark
Ray
Senior DATA ENGINEER at MOTOR INFORMATION SYSTEMS
About the company
About MOTOR Information Systems (Hearst)
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.
About the role
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.
Requirements
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)
Nice to have
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
Responsibilities
Primary 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
Benefits
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
Legal
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