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Manager Data Engineering Jobs in Michigan (NOW HIRING)

FastTek

Data Engineering Engineer

Dearborn, MI · On-site

$105K - $126K/yr

You will be responsible for consuming Teamcenter APIs, managing a middle data layer, and utilizing ... Data Engineering work experience in PLM Domain Key Responsibilities: * Migration Tooling ...

HTC Global Services

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 ...

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 ...

HTC Global Services

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 ...

Pwc

Data Engineer - Manager

Detroit, MI · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

Pwc

Data Engineer - Manager

Grand Rapids, MI

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

IntraEdge

AI Data Engineer

Detroit, MI · On-site

$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 Group

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 ...

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 ...

Stefanini Group

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 ...

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 ...

Stefanini Group

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 ...

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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 Aug 19, 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 82% Full Time, 13% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $84,671 per year, or $40.7 per hour.

Data Engineering Leader

Masco Corporation

Livonia, MI • On-site

Full-time

Posted 20 days ago

Masco rating

7.7

Company rating: 7.7 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

Job description

Role Summary
The Data Engineering Leader owns the delivery, quality, and operational health of Masco's enterprise data engineering capability. Reporting to the Enterprise Data Architect, this role leads a team of Data Engineers building and operating the ingestion, transformation, and Lakehouse solutions that power enterprise POS and adjacent commercial data. This is a hands-on technical leader who codes alongside the team, holds engineers accountable to project plans and SLAs, and provides architectural support to the Enterprise Data Architect on ingestion patterns, pipeline design, and platform decisions. The Data Engineering Leader partners closely with the BI Delivery Leader to ensure enterprise data structures and models are in place for accurate, timely analytics delivery.
What You'll Own
Engineering Team Leadership & Delivery Accountability
  • Lead, coach, and manage a team of Data Engineers, including performance guidance and prioritization.

  • Hold the team accountable to project plans, sprint commitments, and quality expectations.

  • Coordinate onshore and offshore engineering capacity, serving as the technical lead for offshore engineering resources and the bridge back to onshore leads.

  • Sequence sprint delivery against the priority roadmap and requirements set by the Enterprise Data Architect, Technical Product Owner, and Business Data Analyst.

Ingestion, Pipeline & Data Platform Build
  • Own the build and operation of ingestion pipelines across retailer, HQ, and BU data sources on the Databricks and Azure data stack.

  • Contribute directly as a senior engineer on critical-path pipelines, Lakehouse design, and modeling work.

  • Partner with the Architect to build the ingestion side of the attribution crosswalk and master data foundations to the documented spec.

  • Enforce data-validation gates for completeness, outliers, and consistency before data reaches enrichment.

Incident Management, Release Management & Operational SLAs
  • Own intake, triage, and resolution of pipeline incidents and data issues raised by BU and HQ consumers.

  • Own release management for engineering enhancements, requests, and projects, including development operations, sprint execution, deadlines, and delivery of the business value defined by the Business Data Analyst and Technical Product Owner.

  • Establish and adhere to SLAs for incident response, resolution, and communication back to consumers.

  • Own monitoring, alerting, and operational health of pipelines, credentials, and source integrations.

  • Escalate issues that touch the enterprise model, masters, or attribution to the Enterprise Data Architect.

Cloud Cost & Consumption Management
  • Monitor cloud storage, compute, and consumption of enterprise data platforms, and track related costs.

  • Contribute to budgeting for cloud, data services, and engineering tools, informed by consumption trends and workload forecasts.

  • Recommend cost optimization actions such as right-sizing, workload tuning, and storage tiering as part of ongoing platform operations.

Architecture Support & Analytics Delivery Enablement
  • Serve as a delivery-side extension of the Enterprise Data Architect, advising on ingestion patterns, Lakehouse design, and platform decisions.

  • Enforce enterprise standards for data engineering, integration, and data quality in all work delivered by the team.

  • Work closely with the BI Delivery Leader to ensure enterprise data structures, models, and metric definitions are in place for accurate and timely analytics delivery.

  • Stay connected to BU data engineering counterparts for collaboration, cross-learning, and consistent enterprise practice.

Documentation & Knowledge Management
  • Establish and enforce how engineering documentation works across the team, in partnership with the Enterprise Data Architect.

  • Own documentation standards for pipelines, ingestion patterns, operational runbooks, credentials management, incident response, and release management.

  • Ensure engineers document changes to metrics, pipelines, and data flows as part of the definition of done.

Required Qualifications
Education & Experience
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Analytics, or a related field; equivalent professional experience considered.

  • Proven experience in a data engineering leadership role, including managing engineers and delivery accountability.

  • Substantial hands-on experience designing and building scalable data engineering solutions on a major cloud platform, with emphasis on the Azure ecosystem.

  • Experience running incident management and SLA-driven support for data pipelines.

  • Experience coordinating onshore and offshore engineering delivery.

Technical Skills
  • Advanced hands-on expertise with Databricks and the Azure data stack (Data Factory, Data Lake, Synapse, Analysis Services).

  • Deep working knowledge of the medallion architecture (bronze / silver / gold) for structuring Lakehouse solutions.

  • Understanding of and experience with Microsoft Fabric, including how it fits alongside Databricks in a modern enterprise data platform.

  • Advanced SQL / T-SQL and strong ETL/ELT design and build experience.

  • Strong proficiency in Python for data engineering.

  • Working knowledge of distributed processing and Lakehouse principles.

  • Solid understanding of CI/CD, DevOps, and automation for data workflows.

  • Strong understanding of Kimball dimensional modeling and enterprise semantic layers.

  • Understanding of data governance, security, and compliance as they apply to enterprise data engineering.

Skills & Competencies
  • Player-coach mindset. Leads the team and still contributes directly on critical-path engineering work.

  • Delivery-driven. Owns commitments, SLAs, and follow-through.

  • Willingness to explore and understand new and modern data tools to add value to the enterprise POS and POS-related engineering space.

  • Collaborative with BU data engineering counterparts for cross-learning and consistent practice.

  • Strong communicator who can translate engineering realities for business and leadership, and architectural direction for engineers.

  • Detail-oriented, self-directed, and a continuous learner on modern data engineering practices.

  • Ability to lead team and manage career development for small number of direct reports.

Preferred Qualifications
  • Experience in retail, consumer goods, or manufacturing analytics environments where POS, sell-in, inventory, and third-party retail data are core.

  • Experience with Databricks Unity Catalog, data lineage, and observability tools.

  • Experience with PowerBI.

  • Familiarity with ML/AI integration (MLflow, Azure ML) and DataOps/MLOps practices.

  • Experience with RESTful API development for data acquisition.

  • Familiarity with modern DataOps, Agile, or Kanban delivery practices.

Company: Masco
Full time
Hiring Range: $103,700.00 - $163,020.00 USD
Actual compensation may vary based on various factors including experience, education, geographic location, and/or skills.
Masco Corporation (the "Company") is an equal opportunity employer and we strive to employ the most qualified individuals for every position. The Company makes employment decisions only based on merit. It is the Company's policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all people involved in the operations of the Company regardless of where the employee is located and prohibits unlawful discrimination by any employee of the Company.
Masco Corporation is an E-Verify employer. E-Verify is an Internet based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States. Please click on the following links for more information.
E-Verify Participation Poster: English & Spanish
E-verify Right to Work Poster: English, Spanish

What Masco employees say

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Benefits

Hours and flexibility

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About Masco

Sourced by ZipRecruiter

Our founder, Alex Manoogian, arrived in the United States in 1920 with $50 in his pocket and a relentless drive to make a better life for himself and his family. Decades later, that drive continues to permeate every aspect of our business. We believe in better living possibilities—for our homes, our environment and our community. Across our businesses and geographies, we seek out these possibilities to grow ourselves, enhance our consumers’ lives, create long-term value for our shareholders and improve the world around us. As a family of companies, we share a strong ethical culture and continuous improvement mindset driven by people and backed by an operating system designed to leverage our scale.

Industry

Building materials and garden equipment dealers

Company size

10,000+ Employees

Headquarters location

Livonia, MI, US

Year founded

1929

Social media

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