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Data Engineer Jobs in Michigan (NOW HIRING)

Data Engineer

Wyoming, MI · On-site +1

$103K - $124K/yr

Data Engineer (Microsoft Stack) Join our collaborative Data and AI team, where every member\'s contributions are valued and visible. As a Data Engineer, you\'ll take on meaningful responsibilities ...

Data Engineer

Dearborn, MI · On-site

$105K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

The Data Engineer role resides within the Ford's Electric Vehicle organization. In this role, you will work on building scalable and robust data pipelines to process large volumes of connected ...

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Engineer #1060557 Position Description: Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for ...

Data Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Data Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Engineer #1061533 * Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing ...

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 ...

$104K - $125K/yr

As a Lead Data Engineer, you will serve as a senior individual contributor responsible for defining technical direction, leading complex Data Engineering initiatives, and building scalable, reliable ...

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Engineer #1055558 * Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing ...

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 ...

Data Engineer

Lansing, MI · On-site

$116K - $139K/yr

Data Engineer Location: Lansing, MI (Need only locals, F2F is must) Rate: Market Duration: long term Required Skills: 12+ years developing complex database systems. 8+ years Databricks. 8+ years ...

$104K - $125K/yr

What is your role? As a Senior Data Engineer, you will design, build, optimize, and maintain scalable data pipelines, curated datasets, and cloud-based data solutions supporting Corning ...

Sr. Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Overview The Sr. Data Engineer will serve as a key technical contributor responsible for the design, development, and ongoing support of the company's enterprise data platform and business ...

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Role- Data Engineer Work location Dearborn, MI Ideal to be local but not required. 12 month contract. Additional Information: Resources will be in office 4 days a week. Teams Video interview 1 hour ...

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Engineer III Overview / Summary We are seeking a Data Engineer III to design, build, and maintain scalable data solutions, including data infrastructure, pipelines, platforms, and applications ...

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Engineer III Overview / Summary We are seeking a Data Engineer III to design, build, and maintain scalable data solutions, including data infrastructure, pipelines, platforms, and applications ...

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Title Data Engineer (Google Cloud Platform - GCP) Overview We are seeking a Data Engineer with experience designing, building, and maintaining scalable data solutions. This role is responsible ...

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Title Data Engineer (Google Cloud Platform - GCP) Overview We are seeking a Data Engineer with experience designing, building, and maintaining scalable data solutions. This role is responsible ...

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Engineer III Overview / Summary We are seeking a Data Engineer III to design, build, and maintain scalable data solutions, including data infrastructure, pipelines, platforms, and applications ...

Showing results 21-40

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.

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 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:

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

Cisive

Wyoming, MI • On-site, Remote

$103K - $124K/yr

Full-time

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


Cisive rating

8.3

Company rating: 8.3 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

79th of 492 rated business services


Job description

It\'s fun to work in a company where people truly BELIEVE in what they\'re doing!
We\'re committed to bringing passion and customer focus to the business.

At Cisive, our vision is to make securing the right talent effortless. We provide technology-first background screening, identity verification, and continuous monitoring solutions that help organizations hire and manage their workforce with confidence.

Our Values

·       Integrity First: We uphold the highest ethical standards in everything we do.

·       Innovate Fearlessly: We challenge the status quo, embrace emerging technologies, and continuously refine our solutions to stay ahead of industry needs.

·       Win Together: We break down barriers, share knowledge, and champion teamwork across departments, brands, and global offices to achieve our collective goals.

·       Customer Obsessed: We go beyond transactional interactions to become trusted partners in risk mitigation and workforce management.

·       Stay One Step Ahead: We proactively seek knowledge that helps us—and our clients—stay ahead of the curve.

Job Description:

Data Engineer (Microsoft Stack)

Join our collaborative Data and AI team, where every member\'s contributions are valued and visible. As a Data Engineer, you\'ll take on meaningful responsibilities that directly impact our projects and business at Cisive. This is an excellent opportunity for someone eager to work hands-on with Microsoft\'s cloud-native data technologies, develop new skills in modern data platforms, and be recognized for their achievements. You\'ll be supported by experienced professionals and have opportunities to showcase your work in cutting-edge cloud environments.

Responsibilities:

  • Collaborate with the Data and AI team to design and build data infrastructure, including ETL/ELT pipelines using Azure Data Factory.

  • Develop and maintain data models, cloud data warehouses, and data lakes using Azure SQL Server, and Azure SQL Database

  • Write and optimize T-SQL scripts, stored procedures, and functions for data transformation and integration.

  • Support data quality, governance, and security initiatives.

  • Participate in the full lifecycle of data projects, from requirements gathering to deployment and monitoring.

Qualifications:

  • (Required) 3+ years of data engineering experience, preferably with Microsoft data technologies.

  • (Required) Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.

  • (Required) Strong SQL skills and experience with Microsoft SQL Server.

  • (Required) Proficiency in modern coding practices, including Visual Studio Code, Git, and test frameworks (unit testing, regression testing, etc.).

  • (Required) Experience with Azure Data Factory, SSIS, and/or other Microsoft Azure data services.

  • (Required) Experience designing and implementing star schema data models.

  • (Nice to Have) Experience with Databricks and Python

  • Excellent problem-solving skills, attention to detail, and strong communication skills.

  • Ability to work effectively in a team environment and manage multiple tasks with minimal supervision.

What We Offer:

  • Hands-on experience with real-world data engineering projects using Microsoft’s data stack.

  • Mentorship and guidance from experienced data professionals.

  • Opportunities to take on significant responsibilities and make a tangible impact.

  • A collaborative and inclusive work environment.

  • Flexible/remote work options.


What Cisive employees say

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