ZipRecruiter

Log In

1

Data Engineering Jobs in Michigan (NOW HIRING)

FastTek

Data Engineering Engineer

Dearborn, MI · On-site

$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 ...

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 ...

Watkins Wellness

Data Engineering Leader

Livonia, MI · On-site

## Data Engineering LeaderApplylocations: US - Michigan - Livoniatime type: Full timeposted on: Posted Todayjob requisition id: REQ53854**Role Summary**The Data Engineering Leader owns the delivery ...

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 ...

Reply

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Reply

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Reply

Manager, Data Engineering

Detroit, MI

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Reply

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Reply

Manager, Data Engineering

Detroit, MI

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Noblesoft Technologies

Data Engineer (Python)

Auburn Hills, MI · On-site

$108K - $130K/yr

Data Engineering, Python, PySpark, CI/CD, Airflow, Workflow Orchestration Overall Experience: 8+ years of relevant experience JOB REQUIREMENTS - The Senior Data Engineer & Technical Lead (SDET Lead ...

Strategic Employment

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

They're looking for someone to work closely with stakeholders on low code data engineering solutions. Technical experience with Foundry, Databricks, or Snowflake is preferred, but not required. A ...

Spruce Infotech

Principal Data Engineer

Detroit, MI · On-site

$72/hr

... engineering, data architecture, and enterprise data platforms. Key Skills * AWS - S3, Glue, Lambda, EMR, Redshift * Snowflake - Data Warehousing, Data Modeling, Performance Optimization * Python ...

next page

Showing results 1-20

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 Sep 10, 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 typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are 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 September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $143,829 per year, or $69.1 per hour.

Data Engineering Manager

Grand Rapids, MI • On-site

Lake Michigan Credit Union
51 - 200 employees
Learn more about Lake Michigan Credit Unionexternal

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 29 days ago

Key responsibilities

  • Lead, coach, and develop Senior Data Engineers, managing workload priorities, performance feedback, and delivery expectations.

  • Establish and maintain enterprise standards for data modeling, ETL/ELT development, orchestration, and data integration patterns.

  • Oversee the design, development, testing, deployment, and optimization of data pipelines, models, and integrations across various platforms.

Lake Michigan Credit Union rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

Job description

Primary Location: Grand Rapids
Employee Status: Full-Time
Workplace Type: Hybrid
Who we are:
At LMCU, you'll find more than just a job - discover a fulfilling career where your contributions truly matter. Join our talented team at Lake Michigan Credit Union and discover the difference an employer who puts people first can make in your career and life.
About this position:
The Manager, Data Engineering leads the Data Engineering function responsible for designing, building, maintaining, and optimizing enterprise data models, pipelines, and integrations that support business needs and enable self-service analytics across LMCU. This role manages Senior Data Engineer resources, establishes data engineering standards, oversees delivery and operational support, and ensures data solutions are scalable, reliable, secure, and aligned to business priorities.
What you'll do:
  • Lead, coach, and develop Senior Data Engineers, including managing workload priorities, sprint commitments, performance feedback, career development, hiring, and day-to-day delivery expectations.
  • Establish and maintain enterprise standards for data modeling, ETL/ELT development, orchestration, integration patterns, Microsoft Fabric/OneLake architecture, and reusable data products.
  • Oversee the design, development, testing, deployment, maintenance, and optimization of data pipelines, curated data models, integrations, and data migrations across core banking, digital, operational, and analytics platforms.
  • Ensure data pipelines and models are reliable, secure, performant, well-documented, and supportable through effective monitoring, data quality controls, lineage, and issue-resolution processes.
  • Partner with Business Intelligence, Data Governance, Application Development, Infrastructure, vendors, and business stakeholders to translate business needs into scalable technical solutions.
  • Enable trusted self-service analytics by delivering reliable, accessible, and well-governed data products that support reporting, analytics, and informed decision-making. Adhere to and champion our core values of curious minds, collaborative hearts, and continuous excellence.

What you'll bring:
  • 8+ years of progressive experience in data engineering, analytics engineering, data architecture, data warehousing, or data platform development, including experience leading technical resources, delivery workstreams, or project teams.
  • Bachelor's degree in computer science, information systems, information technology, data management, data analytics, engineering, or a related field; significant relevant experience may be considered in lieu of a degree.
  • Hands-on experience with Microsoft Fabric, OneLake, Data Factory, notebooks, lakehouse and warehouse workloads, SQL Server, and modern cloud data platforms.
  • Strong knowledge of ETL/ELT design and orchestration, dimensional modeling, star and snowflake schemas, Kimball/Inmon concepts, and medallion architecture.
  • Proficiency with SQL and Python, including data pipeline testing, observability, monitoring, and troubleshooting.
  • Experience with Azure DevOps/Git, CI/CD practices, and modern development and deployment processes.
  • Knowledge of data quality controls, metadata management, data lineage, governance, and documentation best practices.
  • Experience integrating core banking, digital banking, and other operational data sources into enterprise data platforms.
  • Experience working within Agile delivery environments, including ServiceNow or Jira intake, prioritization, and stakeholder communication.
  • Relevant certifications in Microsoft Fabric, Azure, cloud data platforms, data engineering, Agile/Scrum, leadership, or project management are preferred.
  • experience.
  • Ability to work effectively within established priorities, standards, and processes while demonstrating strong execution and follow-through.

Preferred Qualifications:
  • Experience partnering with or leading Data Science teams in the delivery of predictive analytics, machine learning, or AI-driven solutions.
  • Familiarity with the data science lifecycle, including model development, model deployment (MLOps), monitoring, and governance.
  • Experience building platforms, pipelines, and infrastructure that enable Data Scientists to develop, test, and operationalize models at scale.
  • Knowledge of modern AI, machine learning, and generative AI technologies and their integration into enterprise data platforms.
  • Demonstrated ability to bridge Data Engineering, Business Intelligence, and Data Science disciplines to deliver business outcomes.

What you'll get:
  • All Employees: weekly pay and retirement savings options.
  • Full-Time Employees: comprehensive health coverage including medical (with prescription), dental, vision, HSA match, paid parental leave, and tuition reimbursement.
  • To see a full list of our benefit offerings, check out this helpful guide!

Have additional questions about the role? Email the Talent Acquisition Team at: Careers@lmcu.org
If you lack access to the internet or require an accommodation in the application process, please send your resume via mail to P.O. BOX 2848, Grand Rapids, MI 49501-2848.
LMCU is an Equal Opportunity Employer

What Lake Michigan Credit Union employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply