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Data Engineer Jobs in Rochester, MI (NOW HIRING)

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer , preferably with a finance or cost engineering background and hands-on exposure to data engineering to drive delivery of modern ...

Epitec

Data Engineer

Southfield, MI · On-site

$114K/yr

Data Engineer (Job Code: 1391) Duties : Responsible for supporting vehicle feature level performance sign-offs through data exploration and analysis of data collected from real-world evaluation ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that process ...

Bright Mind Solutions LLC

Data Engineer

Warren, MI · On-site

$45 - $50/hr

The Data Engineer handles leading and delivering new and innovative data driven solutions that are elegant and professional. You will work closely with our forward-thinking Data Scientists, BI ...

Bright Mind Solutions LLC

Data Engineer

Warren, MI · On-site

$45 - $50/hr

The Data Engineer handles leading and delivering new and innovative data driven solutions that are elegant and professional. You will work closely with our forward-thinking Data Scientists, BI ...

Contact Government Services, LLC

Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Deloitte

Databricks Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Contact Government Services, LLC

Data Engineer

Detroit, MI

$113K - $136K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

... Engineering, or a related field * A minimum of 8 years of experience in development and operation in production of Cloud native data streaming data systems (with an emphasis on scalability ...

AceStack LLC

Robotics Data Engineer

Warren, MI

$107K - $128K/yr

Role: Robotics Data Engineer Location: Warren, MI FTE • 3+ years of experience in data engineering, machine learning systems, robotics, or related fields. • Master's degree in engineering ...

Apex Systems

Data Engineer

Warren, MI

$107K - $128K/yr

Job#: 3036837 Data Engineer Location: Warren, Michigan (Onsite) Role Overview A technical leadership position is available to provide support for an Agile Development Team. This role focuses on ...

Stellantis

Data Engineer - Supply Chain

Auburn Hills, MI · On-site

$108K - $130K/yr

The Data Engineer plays a critical role in enabling this vision by designing, building, and operating enterprise-grade data pipelines and analytical data products that power advanced analytics ...

Pwc

Data Engineer - Manager

Detroit, MI · On-site

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

General Motors

Senior Data Engineer

Warren, MI · On-site

$99K - $135K/yr

Data engineers at GM are expected to build and maintain reliable, scalable data infrastructure, transform raw data into high-quality datasets for analytics and advanced data science use cases, and ...

Pwc

Data Engineer - Senior Manager

Detroit, MI · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Associate

Detroit, MI

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

General Motors

Senior Data Engineer

Warren, MI

$99K - $135K/yr

Data engineers at GM are expected to build and maintain reliable, scalable data infrastructure, transform raw data into high-quality datasets for analytics and advanced data science use cases, and ...

Plantemoran

AI Data Engineer

Southfield, MI · On-site

$105K - $126K/yr

Plante Moran is modernizing its data and analytics platform and is seeking an AINative Data Engineer to build scalable, governed solutions in a Microsoft ecosystem (Microsoft Fabric, Azure, Power BI)

Deloitte

Sr Databricks Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Rochester, MI

Data Engineer information

See Rochester, MI salary details

$41K

$119.4K

$163.4K

How much do data engineer jobs pay per year?

As of Jun 16, 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 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.

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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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.

What are Data Engineers?

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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
More about Data Engineer jobs
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 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:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Rochester, MI as of June 2026, with employment types broken down into 88% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $119,398 per year, or $57.4 per hour.
Data Engineer

Data Engineer

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 124 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

Job description

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer, preferably with a finance or cost engineering background and hands-on exposure to data engineering to drive delivery of modern analytics, automation and AI-enabled solutions. This role will lead cross-functional initiatives spanning cloud data platforms (Snowflake/AWS/Azure), Databricks, Palantir Foundry, and the Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse). The ideal candidate combines strong project management discipline with technical fluency and an understanding of automotive cost engineering, finance and purchasing data.
You will manage end-to-end project execution, while working closely with business and ICT partners to deliver scalable, secure, and high-impact data products. Experience with agentic AI chatbot development and Generative AI / Microsoft Copilot is strongly preferred.
Basic Qualifications:
  • Bachelor's degree in Computer Science (or a related technical field.).
  • 3+ years of professional experience technical project delivery, data engineering, or analytics platform implementation.
  • Demonstrated project management skills: planning, execution, stakeholder management, risk management, and delivery governance.
  • Finance or costing background, with understanding of cost drivers, financial models, or cost engineering processes.
  • Data engineering exposure: pipelines, transformations, data modeling concepts, and working with data engineering teams.
  • Experience with one or more cloud database environments such as Snowflake, AWS, or Azure.
  • Hands-on development and experience with one or more of the following:
  • Snowflake, AWS, or Azure
  • Databricks
  • Palantir Foundry
  • SQL
  • Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse)

Preferred Qualifications:
  • Automotive industry experience, particularly in cost engineering, manufacturing, or product development.
  • Experience with agentic AI chatbot development or internal AI assistants.
  • Knowledge of Generative AI and familiarity with Microsoft Copilot capabilities and adoption strategies.
  • Experience with enterprise governance for analytics platforms.
  • Familiarity with Agile delivery (Scrum/Kanban), DevOps concepts, and structured release management.

Skills & Competencies:
  • Strong communication skills: ability to explain technical details to non-technical stakeholders and align decisions quickly.
  • Highly organized with strong attention to detail; effective at managing ambiguity and changing priorities.
  • Ability to influence across teams without direct authority; strong facilitation and conflict resolution skills.
  • Analytical mindset with comfort interpreting data issues (reconciliation, validation, root cause analysis).
  • Customer-focused approach: understands end-user workflow pain points and drives practical, adoptable solutions.
  • Passion for digital transformation, automation, and AI-driven solutions.

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