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Director Data Engineering Jobs in Michigan (NOW HIRING)

Cognizant Technologies

MI · On-site

$102K - $139K/yr

... engineering practice that will be leveraged across GE Participates in setting strategy and ... Direct: (609) 736-0817 | Email: bakshi@cognizantechnologies .com

Ford Motor Company

Connected Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

... direct authority. Even better, you may have... * Masters's degree in Electrical, Computer, Systems, or Data Engineering preferred. * Ability to translate technical data into clear, executive-level ...

Ford Motor Company

Connected Data Engineer

Dearborn, MI · Hybrid

$86K - $144K/yr

... direct authority. Even better, you may have... * Masters's degree in Electrical, Computer, Systems, or Data Engineering preferred. * Ability to translate technical data into clear, executive-level ...

Protera Health

Senior Data Engineer

Troy, MI · On-site +1

$100K - $136K/yr

This is not a narrow engineering job, an architecture-only role, or a 40-hour-per-week clock-in ... The right person will have founder-level autonomy, direct access to leadership, and the opportunity ...

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All JobsData Engineering JobsDirector Data Engineering JobsDirector Data Engineering Jobs in Michigan

Director Data Engineering information

See Michigan salary details

$63.6K

$169.7K

$221.4K

How much do director data engineering jobs pay per year?

As of Aug 16, 2026, the average yearly pay for director data engineering in Michigan is $169,708.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,300.00 and $220,500.00 per year, depending on experience, location, and employer.

What does a director of data engineering do?

A Director of Data Engineering leads the strategy, architecture, and execution of data infrastructure within an organization. They manage teams responsible for data pipelines, storage, and processing systems to ensure scalability, reliability, and performance. This role involves collaborating with business leaders, data scientists, and analysts to align data capabilities with company goals. Additionally, they oversee technology selection, governance, security, and best practices for data management.

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

To thrive as a Director Data Engineering, you need deep expertise in data architecture, data pipeline design, large-scale database systems, and leadership, typically supported by a relevant degree and significant experience managing engineering teams. Familiarity with tools like SQL, Python, Spark, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as Google Cloud Certified - Professional Data Engineer or AWS Certified Solutions Architect are often expected. Outstanding communication, strategic thinking, and the ability to mentor and inspire teams are key soft skills in this position. These skills ensure the successful design and execution of robust data solutions that drive organizational decision-making and innovation.

What are some common challenges faced by a director of data engineering, and how are they typically addressed?

A Director of Data Engineering often encounters challenges such as integrating disparate data sources, maintaining data quality and security at scale, and aligning data strategy with evolving business goals. Successfully addressing these challenges requires close collaboration with cross-functional teams, continuous upskilling in new technologies, and implementing best practices for data governance and automation. Directors must balance hands-on technical oversight with strategic planning, ensuring their teams are equipped to deliver reliable and high-performing data infrastructure. By fostering a culture of innovation and adaptability, Directors help their organizations stay ahead in a rapidly evolving data landscape.

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 Director Data Engineering jobs in Michigan?

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

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

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

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

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

Director Data Engineering jobs near you
Infographic showing various Director Data Engineering job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $169,708 per year, or $81.6 per hour.

Senior Robotics Data Engineer - Only W2

Saransh Inc

Warren, MI • On-site

$99K - $135K/yr

Contractor

Re-posted 9 days ago

Job description

Role: Senior Robotics Data Engineer
Location: Warren, MI (Onsite from Day 1)
Job Type: W2 Contract
 
Main Skills: Senior Robotics Data Engineer (ML/AI systems, Python, TensorFlow and/or PyTorch, Power BI, Azure data services)
 
Key Responsibilities:
· Design and implement scalable data pipelines for large-scale robotic datasets (vision, depth, tactile, force/torque).
· Build infrastructure for high-throughput data capture from real robots and simulation environments.
· Develop and deploy semi-supervised/self-supervised data labeling workflows to minimize manual annotation costs.
· Enable simulation-to-real (Sim2Real) data workflows, including domain randomization and synthetic data generation.
· Manage data versioning, metadata, and dataset governance to support model training, evaluation, and regression testing.
· Collaborate with Robotics Perception, Grasping AI, and Simulation teams to define data requirements and KPIs.
· Establish data quality metrics that correlate with perception and grasping performance.
 
Required Qualifications:
· Minimum 3 years of experience in data engineering, machine learning systems, robotics, or related fields.
· Master’s degree in Engineering, Computer Science, Data Science, or equivalent practical experience.
· Proven experience building production-grade data pipelines for ML/AI systems.
· Strong hands-on experience with Python-based data tooling.
· Experience working with large, complex, multimodal datasets.
 
Preferred Qualifications:
· Direct experience supporting robotics perception, grasping, or manipulation AI.
· Familiarity with robotics simulation platforms (e.g., Isaac Sim) and synthetic data generation.
· Experience with data labeling tools and annotation workflows at scale.
· Hands-on knowledge of TensorFlow and/or PyTorch from a data systems perspective.
· Experience with Microsoft data ecosystems (Power BI, Azure data services).