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Data Engineering Jobs in Michigan (NOW HIRING)

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Data Engineer (Python)

Auburn Hills, MI · On-site

$108K - $130K/yr

Data Engineering, Python, PySpark, CI/CD, Airflow, Workflow Orchestration Overall Experience: 8+ years of relevant experience JOB REQUIREMENTS - The Senior Data Engineer & Technical Lead (SDET Lead ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Data engineering exposure: pipelines, transformations, data modeling concepts, and working with data engineering teams. * Experience with one or more cloud database environments such as Snowflake ...

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

They're looking for someone to work closely with stakeholders on low code data engineering solutions. Technical experience with Foundry, Databricks, or Snowflake is preferred, but not required. A ...

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

They're looking for someone to work closely with stakeholders on low code data engineering solutions. Technical experience with Foundry, Databricks, or Snowflake is preferred, but not required. A ...

$104K - $125K/yr

You will independently lead complex Data Engineering initiatives, collaborate with technical and business stakeholders, and provide guidance to other engineers through mentoring, code reviews, and ...

$104K - $125K/yr

Are you ready to define the technical direction of a growing Data Engineering organization while remaining hands-on with modern cloud, manufacturing, and AI-enabled data solutions? Join Corning ...

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

The Data Engineering Team also does general extraction, transformation, and load (ETL) work, along with traditional Enterprise Data Warehousing (EDW) work. Responsibilities: * Participates in the ...

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Data engineering, data product development and software product launches * At least three of the following languages: Java, Python, Spark, Scala, SQL * 3 years of cloud data/software engineering ...

Manager, Data Quality Engineering

Ann Arbor, MI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Manager - Data Quality Engineering, you will lead the organization's data quality, quality engineering, and data analyst practice. This is a senior technical leadership role accountable for ...

Sr. Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Work closely with the Data Engineering Lead to estimate levels of effort for platform changes and partner with the business community to set priorities across multiple concurrent initiatives. * Own ...

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and develop analytical tools, algorithms, and programs to support data engineering activities, including scripting and task automation. * Develop and maintain scalable data ingestion and ...

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and develop analytical tools, algorithms, and programs to support data engineering activities, including scripting and task automation. Develop and maintain scalable data ingestion and ...

Showing results 21-40

Data Engineering information

See Michigan salary details

$40.1K

$143.8K

$212.2K

How much do data engineering jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data engineering in Michigan is $143,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $148,200.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

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 Data Engineering jobs in Michigan?

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

What cities in Michigan are hiring for Data Engineering jobs?

Cities in Michigan with the most Data Engineering job openings:

Infographic showing various Data Engineering job openings in Michigan as of August 2026, with employment types broken down into 74% Full Time, 5% Part Time, 2% Temporary, 17% Contract, and 2% Nights. Highlights an 98% In-person, and 2% Remote job distribution, with an average salary of $143,829 per year, or $69.1 per hour.

Manager, Data Engineering

Reply

Detroit, MI • On-site

$160K - $190K/yr

Full-time

Re-posted 24 days ago


Job description

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.
At Valorem Reply, we are hiring a Manager for the Data & AI team. The person will mainly focus on building modern data platforms using Microsoft cloud technologies, including Fabric and Databricks for our customers. As a technical leader, the person will assist with setting the technical direction of the practice and keep up to date with current trends in data-focused technology. The ideal candidate will have strong communication skills and serve as a trusted partner to our customers. A strong understanding of data governance and advising customers on frameworks is critical to this role. This is an exciting role for people that like collaborating across a team, enjoying flexibility/autonomy in completing work, and solving challenging problems.
Responsibilities
  • Assist in new business development and technical sales through development of proposals, estimation, statements of work, and requests for proposals
  • Contributing to and overseeing the successful delivery of data platform, analytics, and data science projects while liaising with clients to meet their needs
  • Providing leadership, coaching, and mentorship to team members and supporting their professional development while establishing a learning culture
  • Staying current on latest trends and technologies, while sharing expertise with colleagues, clients, and industry peers through speaking engagements, publications, and workshops
  • Defining data roadmaps at the executive level for clients and detailed planning of data and AI governance frameworks
  • Collaborating with project management to plan work for delivery teams and verifying quality deliverables

Minimum Requirements
  • Bachelor's degree in computer science or related field
  • 12 years of industry experience, with 4 most recent years as a hands-on manager leading a team on enterprise scale data platform projects
  • 4 years of experience in a consulting role working directly with Enterprise customers
  • Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL
  • Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI
  • Experience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics & reporting, Apache Spark, and networking requirements
  • Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements
  • Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies

Preferred Qualifications
  • Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps
  • Knowledge and familiarity with Microsoft Purview
  • DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
  • Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft
  • Experience with industry leading data tools, such as Profisee, FiveTran, DBT, and Collibra

About Reply
Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
The base compensation range for this full-time position is between $160,000 - $190,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process.
Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at [email protected]. Visit our website at www.reply.com to learn more about our open roles.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.