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Data Engineer Jobs in Clarkston, 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 ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The Senior Data Engineer / Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and infrastructure using Databricks and related cloud technologies. This ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The Senior Data Engineer / Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and infrastructure using Databricks and related cloud technologies. This ...

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 ...

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 ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

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

Stellantis

Data Engineer

Auburn Hills, MI

$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 ...

HTC Global Services

Data Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

Data Engineer (Azure, Microsoft Dynamics 365 & Power BI) Overview / Summary The Data Engineer is responsible for developing, maintaining, and optimizing the organization's data platform, with a ...

HTC Global Services

Data Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

Data Engineer (Azure, Microsoft Dynamics 365 & Power BI) Overview / Summary The Data Engineer is responsible for developing, maintaining, and optimizing the organization's data platform, with a ...

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 ...

Stellantis

ICT Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Data engineering is the practice of making the appropriate data available to various data consumers (including data scientists, data and business analysts, citizen integrators, and line-of-business ...

Stellantis

ICT Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Data engineering is the practice of making the appropriate data available to various data consumers (including data scientists, data and business analysts, citizen integrators, and line-of-business ...

Bespoke Labs

Data Engineer

Flint, MI · On-site

$111K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Sterling Heights, MI · On-site

$107K - $128K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Freudenberg Group

Data Engineer

Plymouth, MI · On-site

$109K - $130K/yr

Degree in Computer Science, Data Engineering, or related field (or equivalent experience). * Proven experience building and running production data pipelines and data products. * Strong Python ...

Freudenberg

Data Engineer

Plymouth, MI

$109K - $130K/yr

Degree in Computer Science, Data Engineering, or related field (or equivalent experience). * Proven experience building and running production data pipelines and data products. * Strong Python ...

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All JobsData Engineer JobsData Engineer Jobs in Clarkston, MI

Data Engineer information

See Clarkston, MI salary details

$45.5K

$132.6K

$181.4K

How much do data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineer in Clarkston, MI is $132,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,000.00 and $140,500.00 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.

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 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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Clarkston, MI? The most popular types of Data Engineer jobs in Clarkston, MI are:
What are popular job titles related to Data Engineer jobs in Clarkston, MI? For Data Engineer jobs in Clarkston, MI, the most frequently searched job titles are:
What cities near Clarkston, MI are hiring for Data Engineer jobs? Cities near Clarkston, MI with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Clarkston, MI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $132,591 per year, or $63.7 per hour.

Data Engineer

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Re-posted 10 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th 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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