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Data Engineer Jobs in Rochester, MI (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Showing results 41-60

Data Engineer information

See Rochester, MI salary details

$41K

$119.4K

$163.4K

How much do data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data engineer in Rochester, MI is $119,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,400.00 and $126,600.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in Rochester, MI?

The most popular types of Data Engineer jobs in Rochester, MI are:

What are popular job titles related to Data Engineer jobs in Rochester, MI?

For Data Engineer jobs in Rochester, MI, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Rochester, MI look for?

The top searched job categories for Data Engineer jobs in Rochester, MI are:

What cities near Rochester, MI are hiring for Data Engineer jobs?

Cities near Rochester, MI with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Rochester, MI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $119,398 per year, or $57.4 per hour.

Full-Stack Data Engineer

Hearst

Troy, MI

Full-time

Re-posted 4 days ago


Hearst rating

6.8

Company rating: 6.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

49th of 76 rated media


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


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