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Manager Data Engineering Jobs in Detroit, MI (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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

$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 ...

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Showing results 21-40

All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Detroit, MI

Manager Data Engineering information

See Detroit, MI salary details

$30.7K

$96.2K

$170.3K

How much do manager data engineering jobs pay per year?

As of Sep 7, 2026, the average yearly pay for manager data engineering in Detroit, MI is $96,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,300.00 and $124,200.00 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 Detroit, MI?

The most popular types of Data Engineering jobs in Detroit, MI are:

What are popular job titles related to Manager Data Engineering jobs in Detroit, MI?

For Manager Data Engineering jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Manager Data Engineering jobs in Detroit, MI look for?

The top searched job categories for Manager Data Engineering jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Manager Data Engineering jobs?

Cities near Detroit, MI with the most Manager Data Engineering job openings:

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Detroit, MI as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $96,170 per year, or $46.2 per hour.

Data Engineer

Stefanini

Dearborn, MI • On-site

$105K - $126K/yr

Other

Re-posted yesterday

Key responsibilities

  • Design, build, and maintain data solutions, including data infrastructure and pipelines.

  • Develop and optimize scalable data ingestion, curation, and processing pipelines from diverse sources.

  • Collaborate with cross-functional teams to ensure data quality, security, and performance of data platforms.

Job description


Stefanini Group is hiring!
Stefanini is looking for Data Engineer , Dearborn, MI
For quick apply, please reach out to Adil Khan at /
We are looking for Data Engineer who will be responsible for designing, building, and maintaining data solutions, including data infrastructure and pipelines, for collecting, storing, processing, and analyzing large volumes of data efficiently and accurately.
Key ResponsibilitiesSpearhead 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 full-stack skills to contribute to seamless end-to-end development, ensuring smooth and reliable data flow from source to insight.Leverage deep expertise in Google Cloud Platform services, including BigQuery, Dataflow, Pub/Sub, and Cloud Functions, to build and manage data platforms that meet and 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 the data platform and enhance capabilities.Develop comprehensive documentation for data engineering processes, promoting knowledge sharing, facilitating collaboration, and ensuring long-term system maintainability.
Skills RequiredGoogle Cloud Platform Cloud Run, Kafka, Cloud Architecture, Software Development, SQL, Cloud Computing, Big Data, BigQuery, Application Development, Google Cloud Platform, Java, Application Testing, Agile Software Development, Artificial Intelligence & Expert Systems, Python, API
Experience Required7+ years of data engineering work experience
Education RequiredBachelor's Degree
**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.
About Stefanini Group
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
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