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Data Handling Jobs in Michigan (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Senior Data Engineer

Troy, MI · Hybrid

$100K - $137K/yr

... 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 Data Handling (Pandas / NumPy, Apache Spark, Ray) Helpful Experience (Nice to Have) * Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks ...

Senior Data Engineer

Troy, MI · Hybrid

$100K - $137K/yr

... 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 ...

Senior Data Engineer

Troy, MI · Hybrid

$100K - $136K/yr

... 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 ...

Senior Data Engineer

Troy, MI · Hybrid

$100K - $137K/yr

... 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 ...

Senior Data Engineer

Troy, MI · Hybrid

$100K - $137K/yr

... 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 ...

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Showing results 1-20

Data Handling information

What is the difference between Data Handling vs Data Analysis?

AspectData HandlingData Analysis
Required SkillsData collection, storage, organizationData interpretation, insights, reporting
ToolsDatabases, spreadsheets, data management softwareStatistical tools, visualization software
Work EnvironmentData entry, database management, data cleaningData interpretation, decision support, reporting
Industry UsageIT, healthcare, finance, logisticsMarket research, business intelligence, finance

Data Handling focuses on collecting, storing, and organizing data, ensuring data quality and accessibility. Data Analysis involves interpreting this data to generate insights, trends, and reports that inform business decisions. While Data Handling ensures data integrity, Data Analysis transforms data into actionable information.

Infographic showing various Data Handling job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Full-Stack Data Engineer

Hearst Newspapers

Troy, MI • On-site

Full-time

Re-posted 12 days ago


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

EEO EMPLOYER