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Data Engineering Jobs in Michigan (NOW HIRING)

General Motors

Data Engineering Manager

Warren, MI · On-site

$107K - $129K/yr

About the Role The Data Engineering Manager will lead a team of data engineers focused on building and operating Customer data platforms supporting OnStar, Connected Services, Customer, Marketing ...

FastTek

Data Engineering Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineering Engineer 3 #1062388 Position Description: Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure ...

FastTek

Data Engineering Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineering Engineer #1056187 Position Description: Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure ...

FastTek

Data Engineering Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineering Engineer #1057469 Position Description: Role Overview: We are looking for a Senior PLM Developer to architect and build a next-generation migration pipeline from Teamcenter to ...

Masco Corporation

Data Engineering Leader

Livonia, MI · On-site

The Data Engineering Leader partners closely with the BI Delivery Leader to ensure enterprise data structures and models are in place for accurate, timely analytics delivery. What You'll Own ...

Masco Corporation

Data Engineering Leader

Livonia, MI · On-site

The Data Engineering Leader partners closely with the BI Delivery Leader to ensure enterprise data structures and models are in place for accurate, timely analytics delivery. What You'll Own ...

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All JobsData Engineering JobsData Engineering Jobs in Michigan

Data Engineering information

See Michigan salary details

$40.1K

$143.8K

$212.2K

How much do data engineering jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data engineering in Michigan is $143,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $148,200.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They are essential for building and maintaining data pipelines, often working with tools like Apache Spark, Hadoop, and cloud platforms, and typically require strong programming and database skills. The demand is expected to remain strong as organizations continue to prioritize data infrastructure.

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

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

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

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

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

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

What cities in Michigan are hiring for Data Engineering jobs?

Cities in Michigan with the most Data Engineering job openings:

Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Michigan as of August 2026, with employment types broken down into 74% Full Time, 5% Part Time, 2% Temporary, 17% Contract, and 2% Nights. Highlights an 98% In-person, and 2% Remote job distribution, with an average salary of $143,829 per year, or $69.1 per hour.

Data Engineering Engineer

IPS Technology Services

Dearborn, MI

$60 - $64/hr

Full-time

Posted 3 days ago

New

Job description

Job Role: Data Engineering Engineer

Job Location: Dearborn, MI

Position Description:

  • Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing large volumes of data efficiently and accurately

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 for efficient and reliable data workflow
  • Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data
  • Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks
  • Ensure optimum performance and identify improvement opportunities

Skills Required:

  • GCP Cloud Run, KAFKA, Cloud Architecture, Software Development, SQL, Cloud Computing, Big Data, Big Query, Application Development, Google Cloud Platform, Java, Application Testing, Agile Software Development, Artificial Intelligence & Expert Systems, Python, API

Experience Required:

  • Engineer 3 Exp: 7+ years Data Engineering work experience

Education Required:

  • Bachelor's Degree

Additional Information:

  • Spearhead the design, development, and maintenance of scalable data ingestion and curation pipelines from diverse sources.
  • Ensure data is standardized, high-quality, and optimized for analytical use.
  • Leverage tools and technologies, including Python, SQL, and DBT/Dataform, to build robust and efficient data pipelines.
  • Utilize your full-stack skills to contribute to seamless end-to-end development, ensuring smooth and reliable data flow from source to insight.
  • Leverage your deep expertise in GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that not only meet but exceed business needs and expectations.
  • Implement and manage robust data governance policies, access controls, and security best practices to protect sensitive data.
  • Employ efficient data workflow management and cloud infrastructure provisioning, championing best practices in Infrastructure as Code (IaC).
  • Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions, ensuring optimal resource utilization and cost-effectiveness.
  • Collaborate effectively with data architects, application architects, and cross-functional teams to define and promote best practices, design patterns, and frameworks for cloud data engineering.
  • Proactively automate data platform processes to enhance reliability, improve data quality, minimize manual intervention, and drive operational efficiency.
  • Clearly and transparently communicate complex technical decisions to both technical and non-technical stakeholders, fostering understanding and alignment.
  • Stay ahead of the curve by continuously learning about industry trends and emerging technologies, proactively identifying opportunities to improve our data platform and enhance our capabilities.
  • Develop comprehensive documentation for data engineering processes, promoting knowledge sharing, facilitating collaboration, and ensuring long-term system maintainability


IPS Technology Services logo

About IPS Technology Services

Sourced by ZipRecruiter

In today's Tech driven world, Businesses and Organizations need to stay on the cutting edge to thrive and outshine the competition. We at IPS Technology Services fully understand the need today's business has for a full spectrum of IT services delivered in a Transparent, Cost effective way. Our dedicated team has many combined years of experience in several tech sectors, allowing us to offer a vast array of services, including IT staffing, CIO advisory, Digital marketing, Systems development and both Healthcare and engineering IT. In addition, we even offer IT outsourcing services to clients who need operation support for older systems that they still rely on. We will never force you to abandon the system that works for your needs–at IPS Technology Services, we fully understand that each company is different and there is no one-size fits all solution.

Company size

11 - 50 Employees

Headquarters location

Troy, MI, US

Year founded

2004

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