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Manager Data Engineering Jobs in Michigan (NOW HIRING)

KRG Technologies Inc.

API Data Vulnerability Engineer

Troy, MI · On-site

$107K - $128K/yr

... managing API security vulnerability data, creating comprehensive enterprise reporting, and driving risk-informed decision making. Key Responsibilities API Vulnerability Data Engineering • Data ...

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 ...

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 ...

V-CENTRIX-US LLC

Snowflake Data Engineer

Detroit, MI · On-site

$104K - $125K/yr

Roles and Responsibilities Technical Leadership and Data Engineering Lead end-to-end data ... Strong communication, stakeholder-management, and team-leadership skills . Please share your ...

Pwc

Data Engineer - Senior Manager

Detroit, MI · On-site

$124K - $280K/yr

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 ...

Pwc

Data Engineer - Senior Manager

Grand Rapids, MI · On-site

$124K - $280K/yr

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 ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Familiarity with customer data platforms, customer analytics, or audience management solutions * Experience with machine learning data preparation and feature engineering * Understanding of data ...

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$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 ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Develops and supports MLOps workflows, including model tracking, versioning, and lifecycle management using MLflow * Builds and maintains CI/CD pipelines for both data engineering and machine ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Develops and supports MLOps workflows, including model tracking, versioning, and lifecycle management using MLflow * Builds and maintains CI/CD pipelines for both data engineering and machine ...

Deloitte

Senior Manager Data Lead

Detroit, MI

Join our AI & Engineering team in transforming technology platforms, driving innovation, and ... We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Hands-on experience with Terraform for infrastructure management and GitHub Actions for CI/CD pipelines. * Software Engineering Foundation: Solid understanding of data structures, algorithms, and ...

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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 Sep 9, 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:

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Michigan as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $84,671 per year, or $40.7 per hour.

Software Engineer, II - Data Engineering

Ann Arbor, MI • Remote

Torc Robotics
Trucking • 501 - 1,000 employees
Learn more about Torc Roboticsexternal

$112K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

About the Company 

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. 
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. 
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. 

Meet the Team
Torc's Data Engineering team is a highly collaborative group focused on building secure, scalable systems that let customers work with data easily and confidently. We operate as a distributed, remote first team, ensuring everyone has equal access to information and collaboration. Our work includes frequent touchpoints-daily standups, planning sessions, and ad hoc discussions over Zoom or Slack. Because we own our services end-to-end, each engineer participates in a business hour on call rotation. We prioritize healthy work/life balance and sustainable development over heroic efforts.

What You'll Do
We are seeking a Software Engineer with experience in implementing and maintaining Linux and cloud-based data management solutions who is ready to extend that experience. In this role you will be working closely with other engineers on the implementation of AWS-native data ingestion, ETL, and storage solutions that power data driven analytics, simulation, and ML training across the enterprise.
  • Create robust and resilient pipelines to process massive daily volumes of data created by vehicle fleets and simulation environments
  • Build and support scalable pipelines as part of Torc's Data Factory to delivery data for ML training at scale
  • Scale Torc's data lake through a distributed storage system, data crawling and discovery
  • Promote and protect the integrity of data through validation, versioning, data provenance, and governance
  • Support the expansion of Torc's data lake through acquisition of additional data sets from internal and external sources
  • Contribute to the design, architecture and delivery of cloud-based solutions    
  • Collaborate with teams specializing in perception, planning, control, mapping and vehicle testing to develop solutions that support product delivery
  • Support the implementation of emerging cloud-based capabilities that can extend our technology stack and improve our ability to build, deploy and test safety-critical software for self-driving vehicles
  • Participate in the team's on-call rotation to support our deployed systems during business hours  
Here's a list of some of the technologies we use to make all the above happen:
  • Managed services powered by AWS (Lambda, SFN, Batch, EventBridge, Athena, Glue)
  • Linux / Bash
  • Docker
  • Terraform
  • Python
  • React/Javascript
  • On-Call Tooling (Datadog, AWS Cloudwatch)
  • CI/CD Tooling (Jenkins, GitHub Actions) 
What You'll Need to Succeed
  • Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 4+ years of experience or;
  • Master's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 0-3+ years of experience.
  • Experience deploying, troubleshooting, monitoring and maintaining Linux systems
  • Experience building and maintaining workloads in public cloud environments
  • Knowledge of different database architectures, including but not limited to relational and NoSQL databases, vector stores, data warehousing and clustered, distributed data stores
  • Practical experience with Linux and general bash scripting
  • Practical experience with Docker and containerization
  • Implementation of workflow patterns using directed acyclic graphs (Apache Airflow, AWS Step Functions)
  • A strong commitment to test-driven development patterns, continuous integration and delivery, and infrastructure as code
Bonus Points
  • Strong organizational, time management, and communication skills working with a team orientation and collaborative style 
  • Experience with the Databricks platform, particularly for serving data, visualizations and jobs
  • Experience with scaling data for ML and AI workloads using Ray
  • Experience with pandas, numpy and other Python-based data analysis libraries and tooling
  • Deep knowledge of AWS serverless architectures (Lambda, Batch, ECS Fargate, Glue, Athena)  
  • Experience with data storage and acquisition patterns for robotics and advanced driver assistance systems
  • Own end-to-end architecture and delivery of cloud-based solutions.

Perks of Being a Full-time Torc'r 
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:    
 

  • A competitive compensation package that includes a bonus component and stock options 
  • 100% paid medical, dental, and vision premiums for full-time employees 
  • 401K plan with a 6% employer match 
  • Flexibility in schedule and generous paid vacation (available immediately after start date) 
  • AD+D and Life Insurance 

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. 
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply. 

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Job ID: 102860

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