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Director Data Engineer Jobs in Michigan (NOW HIRING)

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer , preferably with a finance ... Ability to influence across teams without direct authority; strong facilitation and conflict ...

CNS Healthcare

Data Engineer

Detroit, MI · On-site

$108K - $129K/yr

The Data Engineer is responsible for enabling secure exchange of healthcare data, particularly involving State of Michigan CHAMPS systems for direct billing, while ensuring strict adherence to HIPAA ...

Denso

Director- Data Analytics and AI

Southfield, MI

$181K - $226K/yr

The Director, Data Analytics & Artificial Intelligence is a senior leadership role within DENSO ... Build and lead high-performing teams of data scientists, analytics engineers, and AI product ...

CNS Healthcare

Data Engineer

Detroit, MI

$108K - $129K/yr

The Data Engineer is responsible for enabling secure exchange of healthcare data, particularly involving State of Michigan CHAMPS systems for direct billing, while ensuring strict adherence to HIPAA ...

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer , preferably with a finance ... Ability to influence across teams without direct authority; strong facilitation and conflict ...

Corning

$104K - $125K/yr

This position does not currently have direct reports. Leadership will be demonstrated through ... and promote Data Engineering standards, development patterns, data-quality frameworks ...

New

Strategic Employment

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

This is a full-time, direct hire role. Ideal candidate will have: * 1+ years in stakeholder-facing Data Engineering/Data Analytics position * Consulting experience * Databricks, Foundry, or Snowflake

Strategic Employment

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

This is a full-time, direct hire role. Ideal candidate will have: * 1+ years in stakeholder-facing Data Engineering/Data Analytics position * Consulting experience * Databricks, Foundry, or Snowflake

Corning

$104K - $125K/yr

What do we offer? - A hybrid role based in Monterrey or Reynosa, Mexico.- The opportunity to lead technically challenging Data Engineering projects with direct impact on manufacturing and business ...

New

Corning

$104K - $125K/yr

What do we offer? - A hybrid role based in Monterrey or Reynosa, Mexico.- The opportunity to lead technically challenging Data Engineering projects with direct impact on manufacturing and business ...

New

Megan soft Inc

GCP Data Engineer (W2 Position)

Dearborn, MI · On-site

$105K - $126K/yr

We have a job opportunity of a Role GCP Data Engineer with given on W2 .Please forward related ... Direct No: +1(248) 266-0910 E Mail: praveen@megansoft.com Linked In ID : -kanthri-160275167/

Denso

Director- Data Analytics and AI

Southfield, MI · On-site

$181K - $226K/yr

The Director, Data Analytics & Artificial Intelligence is a senior leadership role within DENSO ... Build and lead high-performing teams of data scientists, analytics engineers, and AI product ...

Ohio Health

The Senior Director of Data Analytics & AI Engineering leads a major function within OhioHealth's technology organization, providing direction through subordinate managers across data engineering ...

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 ... Direct the team through complexity, demonstrating composure through ambiguous, challenging and ...

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 ... Direct the team through complexity, demonstrating composure through ambiguous, challenging and ...

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All JobsData Engineer JobsDirector Data Engineer JobsDirector Data Engineer Jobs in Michigan

Director Data Engineer information

See Michigan salary details

$44.9K

$128.5K

$171.7K

How much do director data engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for director data engineer in Michigan is $128,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,200.00 and $170,800.00 per year, depending on experience, location, and employer.

How does a Director Data Engineer typically collaborate with other departments to drive business objectives?

A Director Data Engineer works closely with cross-functional teams such as product management, analytics, and IT to align data infrastructure and engineering strategies with overall business goals. They facilitate communication between data engineering teams and key stakeholders, ensuring that data solutions address real business needs and support decision-making. This role often involves leading meetings, prioritizing projects based on cross-departmental feedback, and translating technical requirements into actionable plans for their teams. Effective collaboration is essential for delivering scalable, high-impact data solutions across the organization.

What are the key skills and qualifications needed to thrive as a Director Data Engineer, and why are they important?

To thrive as a Director Data Engineer, you need advanced expertise in data architecture, data modeling, and large-scale data processing, typically backed by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), big data tools (like Hadoop, Spark), and relevant certifications (e.g., Google Cloud Certified - Professional Data Engineer) is critical. Strong leadership, strategic thinking, and effective communication skills set top performers apart in this role. These abilities are vital for designing robust data solutions, leading high-performing teams, and aligning data initiatives with organizational goals.

What does a Director Data Engineer do?

A Director Data Engineer leads teams responsible for designing, building, and maintaining large-scale data architectures and infrastructure within an organization. They oversee data engineering projects, establish data management best practices, and ensure data systems are scalable, secure, and reliable. Additionally, they collaborate with other departments, such as analytics and IT, to align data strategies with business goals while mentoring and managing junior engineers.
What are the most commonly searched types of Data Engineer jobs in Michigan? The most popular types of Data Engineer jobs in Michigan are:
What are popular job titles related to Director Data Engineer jobs in Michigan? For Director Data Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Director Data Engineer jobs in Michigan look for? The top searched job categories for Director Data Engineer jobs in Michigan are:
What cities in Michigan are hiring for Director Data Engineer jobs? Cities in Michigan with the most Director Data Engineer job openings:
Director Data Engineer jobs near you
Infographic showing various Director Data Engineer job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,526 per year, or $61.8 per hour.
Data Engineer

Data Engineer

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Re-posted 14 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

15th of 44 rated automakers

Job description

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer, preferably with a finance or cost engineering background and hands-on exposure to data engineering to drive delivery of modern analytics, automation and AI-enabled solutions. This role will lead cross-functional initiatives spanning cloud data platforms (Snowflake/AWS/Azure), Databricks, Palantir Foundry, and the Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse). 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 project execution, while working closely with business and ICT partners to deliver scalable, secure, and high-impact data products. Experience with agentic AI chatbot development and Generative AI / Microsoft Copilot is strongly preferred.
Basic Qualifications:
  • Bachelor's degree in Computer Science (or a related technical field.).
  • 3+ years of professional experience technical project delivery, data engineering, or analytics platform implementation.
  • Demonstrated project management skills: planning, execution, stakeholder management, risk management, and delivery governance.
  • Finance or costing background, with understanding of cost drivers, financial models, or cost engineering processes.
  • Data engineering exposure: pipelines, transformations, data modeling concepts, and working with data engineering teams.
  • Experience with one or more cloud database environments such as Snowflake, AWS, or Azure.
  • Hands-on development and experience with one or more of the following:
  • Snowflake, AWS, or Azure
  • Databricks
  • Palantir Foundry
  • SQL
  • Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse)

Preferred Qualifications:
  • Automotive industry experience, particularly in cost engineering, manufacturing, or product development.
  • Experience with agentic AI chatbot development or internal AI assistants.
  • Knowledge of Generative AI and familiarity with Microsoft Copilot capabilities and adoption strategies.
  • Experience with enterprise governance for analytics platforms.
  • Familiarity with Agile delivery (Scrum/Kanban), DevOps concepts, and structured release management.

Skills & Competencies:
  • Strong communication skills: ability to explain technical details to non-technical stakeholders and align decisions quickly.
  • Highly organized with strong attention to detail; effective at managing ambiguity and changing priorities.
  • Ability to influence across teams without direct authority; strong facilitation and conflict resolution skills.
  • Analytical mindset with comfort interpreting data issues (reconciliation, validation, root cause analysis).
  • Customer-focused approach: understands end-user workflow pain points and drives practical, adoptable solutions.
  • Passion for digital transformation, automation, and AI-driven solutions.

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