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Data Engineer Jobs in Michigan (NOW HIRING)

Bright Vision Technologies

AI Data Engineer

Troy, MI · Remote

$100K/mo

AI Data Engineer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is ...

Howmet Aerospace

Data Engineer

Whitehall, MI · On-site

$108K - $130K/yr

Bachelor's degree in engineering, Data Analysis, Data Science, Computer Science, or Information Systems * Must have experience in basic SQL querying skills * Demonstrated ability to transform data ...

PROLIM Global Corporation

Data Engineer

Lansing, MI · On-site

$116K - $139K/yr

PROLIM (www.prolim.com) is currently seeking Data Engineer for one of our top Client for Location: Lansing, MI Qualified candidates can directly send your updated resume and contact info via email ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1059594 * As a Data Engineer on the Wrangling and Visualization Migration Team, you will communicate and collaborate with developers, architects, product managers, and feature teams to ...

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 ...

IntraEdge

AI Data Engineer

Detroit, MI

$113K - $136K/yr

This role requires strong expertise in data engineering best practices and a deep understanding of the unique data needs of AI models. Key responsibilities * Build AI-ready data pipelines: Design ...

Birdi

Principal Data Engineer

Plymouth, MI · Remote

$109K - $130K/yr

Principal Data Engineer Company: Birdi Work Type: Remote Employment: Full Time Location: US Seniority: Senior Level Technologies: Tableau, Tableau Server, SSIS, SQL Server, PostgreSQL, Python, SSRS ...

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 ...

Apex Systems

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Familiar with programming practices, such as test-driven development, continuous integration, and continuous delivery * Support security practices to safeguard user data including encryption and ...

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 ...

Saanvi Technologies

Data Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer Dearborn, MI Hybrid 4days onsite and 1 day remote W2 Position Description: Ford Motor Company is seeking a Senior Technical Engineer to serve as a subject matter expert for the ATLAS ...

Bespoke Labs

Data Engineer

Detroit, MI · On-site

$113K - $135K/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

Kalamazoo, MI · On-site

$108K - $130K/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

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

Mount Pleasant, MI · On-site

$105K - $126K/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

Allendale, MI · On-site

$99K - $119K/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 ...

Bespoke Labs

Data Engineer

Berrien Springs, MI · On-site

$105K - $127K/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 ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Michigan

Data Engineer information

See Michigan salary details

$38.8K

$113.1K

$154.7K

How much do data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data engineer in Michigan is $113,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $119,800.00 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.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Michigan?

The most popular types of Data Engineer jobs in Michigan are:

What are popular job titles related to Data Engineer jobs in Michigan?

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

What job categories do people searching Data Engineer jobs in Michigan look for?

The top searched job categories for Data Engineer jobs in Michigan are:

What cities in Michigan are hiring for Data Engineer jobs?

Cities in Michigan with the most Data Engineer job openings:

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $113,060 per year, or $54.4 per hour.

Data Engineer

Contact Government Services, LLC

Detroit, MI

$112K - $152K/yr

Full-time

Re-posted 17 days ago

Job description

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 Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients’ toughest challenges.
 
CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities.
 
Skills and attributes for success:
-Complete development efforts across data pipeline to store, manage, store, and provision to data consumers.
-Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices.
-Write code to ensure the performance and reliability of data extraction and processing.
-Support continuous process automation for data ingest.
-Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing.
-Work with program management and engineers to implement and document complex and evolving requirements.
-Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork.
-Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists.
 
 
Qualifications:
-Must be a US Citizen.
-Must be able to obtain a Public Trust Clearance.
-7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models.
-Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats.
-Proficiency in developing ETL processes, and performing test and validation steps.
-Proficiency to manipulate data (Python, R, SQL, SAS).
-Strong knowledge of big data analysis and storage tools and technologies.
-Strong understanding of the agile principles and ability to apply them.
-Strong understanding of the CI/CD pipelines and ability to apply them.
-Experience with relational database, such as, PostgreSQL.
-Work comfortably in version control systems, such as, Git Repositories.
 
Ideally, you will also have:
-Experience creating and consuming APIs.
-Experience with DHS and knowledge of DHS standards a plus.
-Candidates will be given special consideration for extensive experience with Python.
-Ability to develop visualizations utilizing Tableau or PowerBI.
-Experience in developing Shell scripts on Linux.
-Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions.
-Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. 
 
Our Commitment:
Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems.
 
For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.
 
Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come.
 
We care about our employees. Therefore, we offer a comprehensive benefits package:
-Health, Dental, and Vision
-Life Insurance
-401k
-Flexible Spending Account (Health, Dependent Care, and Commuter)
-Paid Time Off and Observance of State/Federal Holidays
 
Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
 
Join our team and become part of government innovation!
 
Explore additional job opportunities with CGS on our Job Board:
https://cgsfederal.com/join-our-team/
 
For more information about CGS please visit: https://www.cgsfederal.com or contact:
Email: info@cgsfederal.com
 
#CJ

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.