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Manager Data Engineering Jobs in Michigan (NOW HIRING)

GCP Data Engineer with Python

Dearborn, MI ยท On-site

$105K - $126K/yr

Strong proficiency in Python for data engineering and automation. * Experience with RDBMS ... Integrate and manage data workflows using Cloud Composer to ensure efficient data pipeline ...

Engineer audio systems and integrated technology platforms that augment the driving experience ... Define and manage platform capabilities that enable data product teams to build, test, deploy ...

New

Engineer audio systems and integrated technology platforms that augment the driving experience ... Define and manage platform capabilities that enable data product teams to build, test, deploy ...

Data Engineer (Python)

Auburn Hills, MI ยท On-site

$108K - $130K/yr

Proven track record of designing, deploying, and managing Airflow DAGs in enterprise environments. 3. CI/CD for Data Projects : Ability to build and maintain CI/CD pipelines for data engineering ...

Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

The ideal candidate combines strong project management discipline with technical fluency and an understanding of automotive cost engineering, finance and purchasing data. You will manage end-to-end ...

Data Engineer with DevOps Skill

Dearborn, MI ยท On-site

$105K - $126K/yr

... engineering, such as Python. ยท Experience with Infrastructure as Code (IaC) tools (e.g., Terraform) for managing cloud resources. ยท Solid understanding of data modeling, schema design, and data ...

$104K - $125K/yr

... in Data Engineering subject-matter expertise, AI/ML specialization, technical leadership, or future people management.- Opportunities to mentor other engineers and influence Data Engineering ...

$104K - $125K/yr

... Data Engineering subject-matter expertise, AI/ML specialization, enterprise architecture, or future technical management. - Collaboration with global manufacturing, technology, analytics, and ...

Data Engineer

Okemos, MI ยท On-site

$103K - $124K/yr

The Data Engineering Team also does general extraction, transformation, and load (ETL) work, along ... Follows standard change control and configuration management practices. * Participates in 24-hour ...

Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

Data engineering, data product development and software product launches * At least three of the ... Relational Database Management System like MySQL, PostgreSQL, and SQL Server. * Real-Time data ...

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

The ideal candidate combines strong project management discipline with technical fluency and an understanding of automotive cost engineering, finance and purchasing data. You will manage end-to-end ...

IT Data Engineer

Kalamazoo, MI ยท On-site

$65K - $76K/yr

... engineering. * Advanced proficiency in SQL (PostgreSQL or similar relational databases). * Experience designing and managing data pipelines and workflows (Pentaho, Microsoft SSIS, or similar ETL ...

Sr. Data Engineer

Grand Rapids, MI ยท On-site

$110K - $132K/yr

Manage and resolve all Data Engineering production support tickets; proactively triage and fix bugs in production pipelines, maintain SLAs, and report resolution progress to the business as requested.

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

Data engineering, data product development and software product launches * At least three of the ... Relational Database Management System like MySQL, PostgreSQL, and SQL Server. * Real-Time data ...

Data Engineer

Dearborn, MI

$105K - $127K/yr

Project management tools like Atlassian JIRA. Even better if you have... * Ph.D. or foreign equivalent degree in Computer Science, Software Engineering, Information System, Data Engineering, or a ...

Showing results 41-60

Manager Data Engineering information

See Michigan salary details

$27K

$84.7K

$149.9K

How much do manager data engineering jobs pay per year?

As of Aug 19, 2026, the average yearly pay for manager data engineering in Michigan is $84,671.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $109,400.00 per year, depending on experience, location, and employer.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

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 Manager Data Engineering jobs in Michigan?

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

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

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

What cities in Michigan are hiring for Manager Data Engineering jobs?

Cities in Michigan with the most Manager Data Engineering job openings:

Infographic showing various Manager Data Engineering job openings in Michigan as of August 2026, with employment types broken down into 82% Full Time, 13% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $84,671 per year, or $40.7 per hour.

GCP Data Engineer with Python

Saransh Inc

Dearborn, MI โ€ข On-site

$105K - $126K/yr

Contractor

Re-posted 18 days ago


Job description

Role: GCP Data Engineer with Python
Location: Dearborn, MI (4 days a week onsite)
Job Type: Contract
 
Experience: Overall 8 to 12 years

Job Summary:
  • The Data Engineer will be responsible for supporting the Credit Global Securitization (GS) team’s upskilling initiative by contributing to data engineering efforts across cloud and traditional platforms.
  • This role is intended to accelerate development and delivery.
  • The engineer will work closely with cross-functional teams to build, optimize, and maintain data pipelines and workflows using GCP, Python, and ETL tools.

Required Technical Skills:
  • Minimum 3+ years of hands-on experience with Google Cloud Platform (GCP), specifically using Astronomer/Composer for orchestration.
  • Strong proficiency in Python for data engineering and automation.
  • Experience with RDBMS technologies such as DB2 and Teradata.
  • Exposure to Big Data ecosystems and distributed data processing.

Nice to have Technical Skills:
  • Prior experience with ETL tools like DataStage or Informatica.

Responsibilities:
  • The Data Engineer will play a key role in the developing and maintaining scalable data pipelines and workflows.
  • The engineer will work with GCP tools like Astronomer/Composer and leverage Python for automation and transformation tasks.
  • The role involves integrating data from RDBMS platforms such as DB2 and Teradata, and supporting ETL processes using tools like DataStage or Informatica.
  • The engineer will collaborate with existing team members, including Software Analysts and Scrum Masters, and will be expected to contribute to knowledge sharing and process improvement.
     
Specifically:
  • Develop and implement solutions using GCP, Python, Big Data technologies to enhance data analysis capabilities.
  • Collaborate with cross-functional teams to design and optimize data models in Teradata and DB2 environments.
  • Utilize Python for scripting and automation to streamline geospatial data processing tasks.
  • Integrate and manage data workflows using Cloud Composer to ensure efficient data pipeline operations.
  • Leverage GCP Cloud to deploy scalable applications and services.