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Manager Data Engineering Jobs in Michigan (NOW HIRING)

HTC Global Services, Inc.

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

... and managing cloud-based data platforms, improving data quality and performance, and collaborating with technical and business stakeholders to support data engineering initiatives. Key ...

IntraEdge

AI Data Engineer

Detroit, MI

$113K - $136K/yr

Develop and manage data architectures, including data lakes, data warehouses, and vector databases ... Experience: Proven experience in a data engineering or similar role, with specific experience ...

Stefanini

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Implement and manage robust data governance policies, access controls, and security best practices ... Develop comprehensive documentation for data engineering processes, promoting knowledge sharing ...

Saransh Inc

GCP Data Engineer with Python

Dearborn, MI · 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 ...

KēSTA I.T.

Data Warehouse Architect

Lansing, MI

$80 - $100/hr

... data engineering capabilities. · Establish data governance practices covering data quality, metadata management, security, compliance, and responsible use of enterprise data. · Ensure data ...

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 ...

Affinity Federal Credit Union

$110K - $120K/yr

Data Engineering experience including ETL/Data Pipeline development and operations preferred ... managers, officers, and employees harmless from any and all liability in connection with the pre ...

Corning

$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 ...

Corning

$104K - $125K/yr

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

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Showing results 21-40

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.

Data Engineering Engineer 3//Dearborn, MI//W2 only

Dearborn, MI • On-site

Saanvi Technologies
51 - 200 employees
Learn more about Saanvi Technologiesexternal

$105K - $126K/yr

Contractor

Posted 25 days ago

Key responsibilities

  • Design, build, and maintain reliable, efficient, and scalable data infrastructure for data collection, storage, transformation, and analysis.

  • Plan, design, build, and maintain scalable data solutions including data pipelines, data models, and applications for data workflow.

  • Collaborate with stakeholders to understand data requirements and develop data platforms, pipelines, and analytical tools accordingly.

Job description

Data Engineering Engineer 3

Location: 679 - Rotunda Center
Location Address: 17000 Rotunda Drive, DEARBORN, MI, 48120

W2 Only Hybrid Position 4 days a week onsite

Position Description:

Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing large volumes of data efficiently and accurately Key Responsibilities: 1) Collaborate with business and technology stakeholders to understand current and future data requirements 2) Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis 3) Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow 4) Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data 5) Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks 6) Ensure optimum performance and identify improvement opportunities

Skills Required:

GCP Cloud Run, KAFKA, Cloud Architecture, Software Development, SQL, Cloud Computing, Big Data, Big Query, Application Development, Google Cloud Platform, Java, Application Testing, Agile Software Development, Artificial Intelligence & Expert Systems, Python, API

Experience Required:

Engineer 3 Exp: 7+ years Data Engineering  work experience

Education Required:

Bachelor's Degree

Additional Safety Training/Licensing/Personal Protection Requirements:

Additional Information :

Spearhead the design, development, and maintenance of scalable data ingestion and curation pipelines from diverse sources. Ensure data is standardized, high-quality, and optimized for analytical use. Leverage tools and technologies, including Python, SQL, and DBT/Dataform, to build robust and efficient data pipelines. Utilize your full-stack skills to contribute to seamless end-to-end development, ensuring smooth and reliable data flow from source to insight. Leverage your deep expertise in GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that not only meet but exceed business needs and expectations. Implement and manage robust data governance policies, access controls, and security best practices to protect sensitive data. Employ efficient data workflow management and cloud infrastructure provisioning, championing best practices in Infrastructure as Code (IaC). Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions, ensuring optimal resource utilization and cost-effectiveness. Collaborate effectively with data architects, application architects, and cross-functional teams to define and promote best practices, design patterns, and frameworks for cloud data engineering. Proactively automate data platform processes to enhance reliability, improve data quality, minimize manual intervention, and drive operational efficiency. Clearly and transparently communicate complex technical decisions to both technical and non-technical stakeholders, fostering understanding and alignment. Stay ahead of the curve by continuously learning about industry trends and emerging technologies, proactively identifying opportunities to improve our data platform and enhance our capabilities. Develop comprehensive documentation for data engineering processes, promoting knowledge sharing, facilitating collaboration, and ensuring long-term system maintainability.

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About Saanvi Technologies

Sourced by ZipRecruiter

Saanvi Technologies is a staffing company that specializes in providing IT professionals to businesses. Our employees are experts in their field, and have the skills and experience necessary to help businesses grow and succeed. Saanvi Technologies is dedicated to helping businesses achieve their goals, and they have a proven track record of success. Our employees are qualified and reliable, and they always go above and beyond to meet the needs of their customers.

Company size

51 - 200 Employees

Headquarters location

Farmington, MI, US

Social media

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