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Manager Data Engineering Jobs in Michigan (NOW HIRING)

Pwc

Data Engineer - Manager

Grand Rapids, MI · On-site

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... Developing data architecture and optimization strategies using Snowflake and Databricks ...

Pwc

Data Engineer - Manager

Detroit, MI · On-site

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... Developing data architecture and optimization strategies using Snowflake and Databricks ...

Stellantis

Data Engineer

Auburn Hills, MI · 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 ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

... Engineering, or Embedded Systems. * 3+ Years in "Code-Based" Analytics: Demonstrated experience using Python, GitHub, and CI/CD pipelines to manage data (not just SQL/Tableau). * Automotive/IoT ...

Deloitte

Manager - Data Science / Data Lake

Detroit, MI · On-site

Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

OneMagnify

Manager, Data Science

Detroit, MI · On-site

You'll work across strategy, media, marketing, and engineering teams to ensure models are not only ... Manage and mentor data scientists and analysts, strengthening both technical expertise and business ...

Conclusive Marketing

Manager, Data Science

Detroit, MI · On-site

You'll work across strategy, media, marketing, and engineering teams to ensure models are not only ... Manage and mentor data scientists and analysts, strengthening both technical expertise and business ...

MM International

Data Engineer with DevOps Skill

Dearborn, MI · On-site

$105K - $126K/yr

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

Very Stable, U.S. based manufacturing company with customers in various industries.

Be Seen First

Data Engineer IoT PLC Machinery Industrial Data pushes and pulls, new

Troy, MI · On-site

$110K - $145K/yr

Partner with Machine R&D Engineering to standardize output schemas and implement Model-Based ... Database Management & Data Modeling: Schema design and management of SQL/NoSQL databases dedicated ...

Kanak Elite Services Inc

Data Engineer

Okemos, MI · 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 ...

Continental Services

Data Engineer

Sterling Heights, MI · On-site

$107K - $128K/yr

... Data Manager to understand reporting and analytics requirements, translating them into efficient, well-documented data solutions. * Design and implement AI-augmented data engineering solutions ...

Western Michigan University

IT Data Engineer

Kalamazoo, MI · 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 ...

Continental Services

Data Engineer

Sterling Heights, MI · On-site

$97K - $146K/yr

... Data Manager to understand reporting and analytics requirements, translating them into efficient, well-documented data solutions. * Design and implement AI-augmented data engineering solutions ...

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Showing results 1-20

All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Michigan

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 Jul 10, 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 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 key skills and qualifications needed to thrive as a Manager Data Engineering, and why are they important?

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.

What are Manager Data Engineering roles and responsibilities?

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.

How does a Manager of 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 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:
Manager Data Engineering jobs near you
Sr. Data Engineer - AWS, Snowflake, Python

Sr. Data Engineer - AWS, Snowflake, Python

IntraEdge

Detroit, MI • On-site

$113K - $136K/yr

Full-time

Re-posted 23 hours ago

Job description

The Data Engineer will be responsible for designing, developing, and maintaining robust and scalable data pipelines and data solutions. This role requires strong expertise in cloud-based data platforms, particularly AWS services like Glue and Lambda, combined with proficiency in Python, PySpark, and Snowflake for data warehousing. The ideal candidate will ensure efficient data ingestion, transformation, and availability for analytics and reporting, contributing to data-driven decision-making.
Key Responsibilities:
  • Design, build, and maintain scalable and efficient ETL/ELT pipelines using AWS Glue, AWS Lambda, and PySpark for data ingestion, transformation, and loading into Snowflake.
  • Develop and optimize data models within Snowflake, ensuring high performance and adherence to best practices for data warehousing.
  • Write, test, and deploy production-grade Python and PySpark code for data processing and manipulation.
  • Implement and manage data orchestration and scheduling using AWS services or other relevant tools.
  • Monitor data pipeline performance, troubleshoot issues, and implement optimizations for improved efficiency and reliability.
  • Ensure data quality, integrity, and security across all data solutions, adhering to compliance standards.
Required Skills & Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 5+ years of hands-on experience in data engineering or a similar role. 
  • Strong proficiency in Python and PySpark for data manipulation and processing.
  • Extensive experience with AWS services, specifically AWS Glue and AWS Lambda, for building and managing data pipelines.
  • Solid understanding of SQL and experience with relational and NoSQL databases.
  • Familiarity with version control systems (e.g., Git).
Good to Have:
  • Experience with other AWS services such as S3, Redshift, Athena, Step Functions, Kinesis, CloudWatch.
  • Experience with IBM Datastage or CP4D
  • Knowledge of CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, CloudFormation).
  • Experience with data governance and security best practices.
  • Familiarity with real-time data processing concepts.

The Data Engineer will be responsible for designing, developing, and maintaining robust and scalable data pipelines and data solutions. This role requires strong expertise in cloud-based data platforms, particularly AWS services like Glue and Lambda, combined with proficiency in Python, PySpark, and Snowflake for data warehousing. The ideal candidate will ensure efficient data ingestion, transformation, and availability for analytics and reporting, contributing to data-driven decision-making.
Key Responsibilities:
  • Design, build, and maintain scalable and efficient ETL/ELT pipelines using AWS Glue, AWS Lambda, and PySpark for data ingestion, transformation, and loading into Snowflake.
  • Develop and optimize data models within Snowflake, ensuring high performance and adherence to best practices for data warehousing.
  • Write, test, and deploy production-grade Python and PySpark code for data processing and manipulation.
  • Implement and manage data orchestration and scheduling using AWS services or other relevant tools.
  • Monitor data pipeline performance, troubleshoot issues, and implement optimizations for improved efficiency and reliability.
  • Ensure data quality, integrity, and security across all data solutions, adhering to compliance standards.
Required Skills & Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 5+ years of hands-on experience in data engineering or a similar role. 
  • Strong proficiency in Python and PySpark for data manipulation and processing.
  • Extensive experience with AWS services, specifically AWS Glue and AWS Lambda, for building and managing data pipelines.
  • Solid understanding of SQL and experience with relational and NoSQL databases.
  • Familiarity with version control systems (e.g., Git).
Good to Have:
  • Experience with other AWS services such as S3, Redshift, Athena, Step Functions, Kinesis, CloudWatch.
  • Experience with IBM Datastage or CP4D
  • Knowledge of CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, CloudFormation).
  • Experience with data governance and security best practices.
  • Familiarity with real-time data processing concepts. 
Education:Employment Type: FULL_TIME
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About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

Social media

Instagram

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