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Data Engineer Jobs in Michigan (NOW HIRING)

HTC Global Services

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

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 ...

Contact Government Services, LLC

Data Engineer

Detroit, MI · On-site

$112K - $152K/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 ...

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 ...

Howmet Aerospace

Data Engineer

Whitehall, MI · On-site

$85 - $110/hr

Collaborate with Data Scientists and Machine Learning Engineers to understand model input requirements * Transform the data to meet machine learning model input requirements * Provide post-modeling ...

IntraEdge

AI Data Engineer

Detroit, MI · On-site

$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 ...

Spruce Infotech

Azure Data Engineer

Ann Arbor, MI · On-site

$55 - $57/hr

Data Engineer Work Location : Ann ArborMI48105 Vendor Rate: $55 - $57/hr on W2 Contract duration: 6 Target Start Date: 07 Sep 2026 Does this position require Visa independent candidates only? Yes

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

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

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 ...

HTC Global Services, Inc.

Data Engineer III

Dearborn, MI · On-site

$110 - $140/hr

Hybrid | Job Code: 244501 Overview / Summary We are seeking a Data Engineer III to design, build, and maintain scalable data solutions, including data infrastructure, pipelines, platforms, and ...

Freudenberg

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 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 ...

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 ...

Cloud BC Labs

GCP Data Engineer

Dearborn Heights, MI · On-site

GCP Data Engineer Location : Dearborn, Michigan (Onsite) Term : C2C/W2 role Exp : 10+ Yrs : Basic Requirement: Seeking an experienced Data Engineer to design, build, and maintain our data ...

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$140K - $184K/yr

Design and build production data engineering solutions to deliver reusable patterns using Google Cloud Platform (GCP) services: Big Query, Dataflow, DataForm, Astronomer, Data Fusion, DataProc, Cloud ...

Stellantis

Senior Data Engineer

Auburn Hills, MI · On-site

$100K - $136K/yr

About the Role Join the Supply Chain AI Hub as a Senior Data Engineer helping turn AI ambition into reliable data foundations and delivery-ready assets. This role helps engage business, engineering ...

IVID TEK INC

Snowflake Data Engineer with AWS

Detroit, MI · On-site

$120 - $180/hr

Snowflake Data Engineer/ Lead Location: Detroit, MI Duration: 12 Months Description: We are looking for 12+ years of experienced Data Engineer / Technical Lead with mandatory expertise in Snowflake ...

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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 Sep 6, 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, 82% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $113,060 per year, or $54.4 per hour.

Data Engineer III

HTC Global Services

Dearborn, MI • On-site

$105K - $126K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago

Key responsibilities

  • Design, build, and maintain scalable data infrastructure, pipelines, platforms, and applications for data collection, storage, processing, and analysis.

  • Develop and manage scalable data ingestion and curation pipelines from diverse data sources, ensuring data quality and performance.

  • Collaborate with stakeholders to understand data requirements and support data engineering initiatives.

Job description

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 for collecting, storing, processing, and analyzing large volumes of data efficiently and accurately.
This role will focus on developing scalable data ingestion and curation pipelines, building and managing cloud-based data platforms, improving data quality and performance, and collaborating with technical and business stakeholders to support data engineering initiatives.
Key Responsibilities
  • Collaborate with business and technology stakeholders to understand current and future data requirements.
  • Design, build, and maintain reliable, efficient, and scalable data infrastructure for data collection, storage, transformation, and analysis.
  • Plan, design, build, and maintain scalable data solutions, including data pipelines, data models, and applications.
  • Design, implement, and maintain data platforms, including data warehouses, data lakes, and data lakehouses for structured and unstructured data.
  • Design and develop analytical tools, algorithms, and programs to support data engineering activities, including scripting and task automation.
  • Develop and maintain scalable data ingestion and curation pipelines from diverse data sources.
  • Standardize and optimize data for analytical use while maintaining data quality.
  • Leverage Python, SQL, and DBT/Dataform to build robust and efficient data pipelines.
  • Utilize GCP services, including BigQuery, Dataflow, Pub/Sub, and Cloud Functions, to build and manage data platforms.
  • Implement and manage data governance policies, access controls, and security best practices.
  • Support efficient data workflow management and cloud infrastructure provisioning using Infrastructure as Code (IaC) best practices.
  • Monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions.
  • Identify opportunities to improve resource utilization and cost-effectiveness.
  • Collaborate with data architects, application architects, and cross-functional teams to define and promote best practices, design patterns, and frameworks for cloud data engineering.
  • Automate data platform processes to improve reliability, data quality, and operational efficiency.
  • Communicate complex technical decisions clearly to technical and non-technical stakeholders.
  • Stay current with industry trends and emerging technologies and identify opportunities to improve data platforms and capabilities.
  • Develop comprehensive documentation for data engineering processes to support knowledge sharing, collaboration, and long-term system maintainability.

Required Qualifications
  • 7+ years of experience in Data Engineering.
  • Bachelor's degree.
  • Experience with Google Cloud Platform (GCP).
  • Experience with GCP Cloud Run and BigQuery.
  • Experience with Kafka.
  • Experience with cloud architecture and cloud computing.
  • Experience with software development and application development.
  • Experience with SQL.
  • Experience with Big Data technologies.
  • Experience with Java.
  • Experience with Python.
  • Experience with application testing.
  • Experience with Agile software development.
  • Experience with APIs.
  • Experience related to Artificial Intelligence and Expert Systems.

What Makes HTC A Great Place To Build Your Future
HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
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