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Data Engineer Manager Jobs in Michigan (NOW HIRING)

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1054984 * Employees in this job function are responsible for designing, building ... GCP - Experience deploying and managing services on Google Cloud Platform, including Compute Engine ...

Continental Services

Data Engineer

Sterling Heights, MI

$106K - $128K/yr

The Data Engineer is a hands-on technical contributor who plays a foundational role in building the ... Collaborate closely with the Business Analyst and IT AI & Data Manager to understand reporting and ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$113K - $135K/yr

Role Overview We are looking for a DevOps / Data Engineer to build and manage scalable cloud infrastructure, CI/CD pipelines, and data workflows on AWS. This role combines DevOps, automation, and ...

FastTek

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer #1052627 * Employees in this job function are responsible for designing, building ... Demonstrated experience using Python, GitHub, and CI/CD pipelines to manage data (not just SQL ...

Bright Mind Solutions LLC

Data Engineer

Warren, MI · On-site

$45 - $50/hr

As a Data Engineer, you will build industrialized data assets and data pipelines in support of ... and manage features, technical requirements, known defects, and issues. • Managing and ...

Bright Mind Solutions LLC

Data Engineer

Warren, MI · On-site

$45 - $50/hr

As a Data Engineer, you will build industrialized data assets and data pipelines in support of ... and manage features, technical requirements, known defects, and issues. • Managing and ...

Corning

$104K - $125K/yr

What is your role? As a Lead Data Engineer, you will serve as a senior individual contributor ... technical management. - Collaboration with global manufacturing, technology, analytics, and ...

New

Pwc

Data Engineer - Senior Manager

Detroit, MI · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

FastTek

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer #1055558 * Employees in this job function are responsible for designing, building ... Highly effective in working with product managers, product owners, and cross functional users of ...

Pwc

Data Engineer - Senior Manager

Grand Rapids, MI · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Corning

$104K - $125K/yr

... management.- Opportunities to mentor other engineers and influence Data Engineering standards and best practices.- Collaboration with global manufacturing, technology, analytics, and business teams ...

New

MM International

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Role- Data Engineer Work location Dearborn, MI Ideal to be local but not required. 12 month ... workforce management system that supports Company's operational excellence. · As a Technical ...

BISSELL Homecare

Sr. Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Manage and resolve all Data Engineering production support tickets; proactively triage and fix bugs in production pipelines, maintain SLAs, and report resolution progress to the business as requested.

Corning

$104K - $125K/yr

... management.- Opportunities to mentor other engineers and influence Data Engineering standards and best practices.- Collaboration with global manufacturing, technology, analytics, and business teams ...

New

IntraEdge

AI Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

Develop and manage data architectures, including data lakes, data warehouses, and vector databases ... Collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale ...

Amway

Cloud Data Engineer

Ada, MI · On-site

$92K - $113K/yr

Cloud Data Engineer Posting Start Date: 5/18/26 Posting Location: Ada (Grand Rapids), MI ... Contributing to governance activities such as metadata management, tagging, and lineage tracking ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

As a Data Engineer on the Wrangling and Visualization Migration Team, you will communicate and ... Highly effective in working with product managers, product owners, and cross functional users of ...

PROLIM Global Corporation

Data Engineer

Lansing, MI · On-site

$116K - $139K/yr

PROLIM (www.prolim.com) is currently seeking Data Engineer for one of our top Client for Location ... Implement and manage Elastic Search engines for efficient data retrieval and analysis. * Write ...

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All JobsData Engineer JobsData Engineer Manager JobsData Engineer Manager Jobs in Michigan

Data Engineer Manager information

See Michigan salary details

$38.8K

$113.1K

$154.7K

How much do data engineer manager jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data engineer manager in Michigan is $113,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $119,800.00 per year, depending on experience, location, and employer.

What are some typical challenges a Data Engineer Manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

What engineers make 200,000 a year?

Senior data engineer managers and experienced data engineering leaders often earn $200,000 or more annually, especially in high-demand industries or large organizations. These roles typically require advanced skills in data architecture, cloud platforms, and leadership, along with several years of experience.

What engineers make 300,000 a year?

Senior data engineer managers and experienced data engineering leaders often earn $300,000 or more annually, especially in high-cost-of-living areas or within large tech companies. These roles typically require advanced skills in cloud platforms, data architecture, and leadership, along with extensive industry experience and relevant certifications.

What does a data engineer manager do?

A data engineer manager oversees teams responsible for designing, building, and maintaining data pipelines and infrastructure. They coordinate data collection, storage, and processing efforts, often using tools like SQL, Hadoop, or Spark, and ensure data quality and security while aligning projects with organizational goals.

What are the key skills and qualifications needed to thrive in the Data Engineer Manager position, and why are they important?

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What does a Data Engineer Manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation often involves leadership roles, performance bonuses, and stock options in large organizations or tech companies.
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 Data Engineer Manager jobs in Michigan? For Data Engineer Manager jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Engineer Manager jobs in Michigan look for? The top searched job categories for Data Engineer Manager jobs in Michigan are:
What cities in Michigan are hiring for Data Engineer Manager jobs? Cities in Michigan with the most Data Engineer Manager job openings:
Data Engineer Manager jobs near you
Infographic showing various Data Engineer Manager 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 $113,060 per year, or $54.4 per hour.
Data Engineer

Data Engineer

FastTek

Dearborn, MI

$105K - $126K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Job description

Data Engineer #1054984
Job 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:
  • Collaborate with business and technology stakeholders to understand current and future data requirements
  • 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 efficient and reliable data workflow
  • Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data
  • Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks
  • Ensure optimum performance and identify improvement opportunities

Skills Required:
GCP, Big Data, Data Warehousing, Artificial Intelligence & Expert Systems, API
  • GCP - Experience deploying and managing services on Google Cloud Platform, including Compute Engine, Cloud Storage, IAM, and Cloud Functions. For example, designing and implementing a cloud-native application architecture using GKE (Google Kubernetes Engine) with Cloud SQL and Pub/Sub.
  • Big Data - Experience working with large-scale data processing frameworks such as Apache Spark, Dataflow, or BigQuery. For example, building ETL pipelines that process terabytes of daily event data and transform it for downstream analytics.
  • Data Warehousing - Experience designing and maintaining data warehouse solutions (e.g., BigQuery, Snowflake, Redshift). For example, modeling a star schema for a retail analytics platform that supports reporting on sales, inventory, and customer behavior.
  • Artificial Intelligence & Expert Systems - Experience developing or integrating AI/ML models and rule-based expert systems. For example, building a classification model using Vertex AI to predict customer churn, or implementing a rule engine that automates underwriting decisions.
  • API - Experience designing, building, and consuming RESTful or gRPC APIs. For example, developing a versioned REST API with OAuth 2.0 authentication that serves as the integration layer between a mobile application and backend microservices.

Skills Preferred:
Google Cloud Platform
  • Google Cloud Platform - Familiarity with advanced GCP services beyond core compute and storage, such as Vertex AI, Dataflow, Cloud Composer (Airflow), and BigQuery ML. For example, using Cloud Composer to orchestrate scheduled data pipelines that feed into a BigQuery data warehouse.

Experience Required:
  • Senior Engineer Exp: Senior Data Engineer with 7+ years in data engineering and 10+ years in software with AI ML

Experience Preferred:
  • As a Senior Data Engineer, you will architect and scale end-to-end data pipelines on GCP, transforming complex telemetry and enterprise data into high-quality, analytics-ready assets using Medallion architectures.
  • You will lead the implementation of robust CI/CD workflows, rigorous data governance, and security controls while mentoring junior talent and driving engineering best practices.
  • By collaborating with cross-functional stakeholders and optimizing cloud performance, you will ensure the data platform remains secure, cost-effective, and highly available to power critical business insights.
  • Operational Excellence: Using Terraform, Git, and Airflow to ensure reproducible, secure, and cost-optimized cloud infrastructure.
  • Governance & Quality: Prioritizing data lineage, PII protection, and observability to maintain high trust in data assets.
  • Collaboration: Acting as a bridge between technical teams (Data Science, Security) and business stakeholders to deliver self-service analytics. Strong understanding of Generative AI principles and architectures, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.
  • Proven experience in building and deploying RAG systems, including the use of **Vector Databases**.
  • Proficiency in Python programming.
  • Solid experience with SQL for data manipulation and querying.
  • Hands-on experience with Google Cloud Platform (GCP) services relevant to AI/ML.
  • Basic understanding and practical experience with Machine Learning model fine-tuning.
  • Familiarity with data engineering concepts and practices.
  • Expertise in prompt engineering techniques for interacting with LLMs.
  • Experience with the OpenAI SDK.
  • Experience developing robust APIs, preferably with **FastAPI**.
  • Proficiency with **version control systems (e.g., Git)**.
  • Experience with **containerization technologies (e.g., Docker)**.

Education Required:
  • Bachelor's Degree

Education Preferred:
  • Certification Program

Additional Info:
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra. We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
  • Medical and Dental (FastTek pays majority of the medical program)
  • Vision
  • Personal Time Off (PTO) Program
  • Long Term Disability (100% paid)
  • Life Insurance (100% paid)
  • 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
Follow us on Instagram: https://www.instagram.com/fasttekglobal
Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.