Full-Stack Data Engineer

MOTOR Information Systems; Troy (MI); On-site; USD 120,000 - 180,000; Full time

Job summary

MOTOR Information Systems, part of Hearst, seeks a Full-Stack Data Engineer to design, optimize, and upgrade complex data solutions across the Automotive Content product line. You will help drive the Insights-based product suite and modernize data platforms in a hands-on role.

The role emphasizes building scalable data pipelines, collaborating with cross-functional teams, and leveraging AWS, Databricks, and AI/ML toolchains to improve performance and cost efficiency.

Qualifications

• Expert Python development experience.
• Strong SQL development experience.
• Robust AWS experience (Lambda, Glue, Step Functions, Fargate).
• Experience with semi-structured data (XML, CSV, JSON, Parquet).
• Strong automation experience across data pipelines.
• Experience with Databricks (Delta Lake, Notebooks, SQL Analytics).
• Experience with Kubernetes (Cluster Orchestration, Networking).
• Experience with DevOps/CI-CD/Deployment Orchestration (Octopus Deploy).
• Experience with Git and Azure DevOps.
• Experience with Agentic AI frameworks.
• Experience with data handling tools (Pandas/NumPy, Apache Spark, Ray).

Responsibilities

• Analyze large, complex data sets.
• Design, develop and coordinate data pipelines.
• Collaborate with team to plan and solve complex problems.
• Design for performance and cost optimization of pipelines.

Skills

Python

SQL

AWS

Automation

Databricks

Kubernetes

DevOps

Git

Agentic AI

Pandas/NumPy

Apache Spark

Tools

Databricks

Kubernetes

Azure DevOps

Octopus Deploy

Git

Apache Spark

Job description

Job Description

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS

MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who possesses a strong passion for designing, optimizing, refactoring, and upgrading complex data solutions! MOTOR’s primary product is Automotive Content, and we need someone who can help us support our Insights-based product suite.

Job Description

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS

MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who possesses a strong passion for designing, optimizing, refactoring, and upgrading complex data solutions! MOTOR’s primary product is Automotive Content, and we need someone who can help us support our Insights-based product suite.

We are looking for someone who wants to be part of our mission to transform the future. We have a rare opportunity for you to use your talent, passion, and expertise to help drive this massive change in how we build our user experience across our product lines, and how consumers experience the MOTOR Product Platform.

This position offers excellent career growth and promotional opportunities, stellar compensation, and the ability to work with the world's premier provider of aftermarket automotive data. Hearst/MOTOR Information Systems will be the best and last place you’ll ever work!

Required Experience (Must Have)

• Expert Python Developer
• Strong 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 Git and Azure DevOps
• 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

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

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