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Data Engineering Jobs in Michigan (NOW HIRING)

Amway Inc.

Cloud Data Engineer

Ada, MI

$92K - $113K/yr

Data Engineering & Enterprise Integrations/ Data Warehousing Salary Range: $92,196/yr - $113,890/yr plus bonus Location: Ada, MI (onsite) What we're looking for: We are seeking an experienced Data ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Must have a background in Software Engineering, Data Engineering, or Embedded Systems. * 3+ Years in "Code-Based" Analytics: Demonstrated experience using Python, GitHub, and CI/CD pipelines to ...

Tech Tammina LLC

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

... Data Engineering components. * Participates in creating data pipelines and ETL workflows to ensure that design and enterprise programming standards and guidelines are followed.  Assist with ...

Deloitte

Databricks Data Engineer

Detroit, MI

$113K - $136K/yr

Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL) * Support the modernization of enterprise data ...

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 technologies such as DB2 and Teradata . * Exposure to Big Data ecosystems and distributed data processing.

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

You will work at the intersection of software engineering and data science, ensuring that our data architecture is scalable, reliable, and follows industry best practices. Priorities can change in a ...

IntraEdge

AI Data Engineer

Detroit, MI

$113K - $136K/yr

This role requires strong expertise in data engineering best practices and a deep understanding of the unique data needs of AI models. Key responsibilities * Build AI-ready data pipelines: Design ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Develop comprehensive documentation for data engineering processes, promoting knowledge sharing, facilitating collaboration, and ensuring long-term system maintainability. Skills Required: * GCP

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Develop comprehensive documentation for data engineering processes, promoting knowledge sharing, facilitating collaboration, and ensuring long-term system maintainability. Skills Required: * GCP

Ford Motor Company

Data Engineer

Dearborn, MI · Hybrid

$115K - $192K/yr

Uniquely, this role bridges the gap between traditional data engineering and DevOps, as you will manage infrastructure using Terraform and Tekton. Beyond the technical build, you will act as a ...

Megan soft Inc

GCP Data Engineer (W2 Position)

Dearborn, MI · On-site

$105K - $126K/yr

Dearborn, MI (Hybrid) Duration: 12+ Months Experience: 8+ Years JD: * 8+ years Data engineering, data product development and software product launches * Must have GCP Data Engineer and Architect ...

Stellantis

Data Engineer - Supply Chain

Auburn Hills, MI · On-site

$108K - $130K/yr

This role focuses on production-ready data engineering-ensuring data is reliable, governed, scalable, and fit for decisioning. The Data Engineer partners closely with Data Science, AI Engineering ...

Epitec

Data Engineer

Southfield, MI · On-site

$114K/yr

Masters - Data Science, Data Engineering, Computer Science, Computer Engineering, Electrical Engineering, Electrical and Computer Engineering, or in a related field of study (will accept equivalent ...

Epitec

Data Engineer

Dearborn, MI · On-site

$60 - $68/hr

This role serves as a subject matter expert, combining system administration and data engineering responsibilities to support a complex Time & Attendance ecosystem. The ideal candidate will have ...

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All JobsData Engineering JobsData Engineering Jobs in Michigan

Data Engineering information

See Michigan salary details

$40.1K

$143.8K

$212.2K

How much do data engineering jobs pay per year?

As of Jun 14, 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.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

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 engineers make 500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

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 jobs make $1,000,000 a year?

In data engineering, earning $1,000,000 annually is rare and typically involves senior roles such as lead data engineers or those working in high-paying industries like finance or technology, often with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Most high earners in this field also supplement income through equity, bonuses, or consulting. Such compensation levels are uncommon and usually require a combination of expertise, strategic position, and company size.

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

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.

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 job categories do people searching Data Engineering jobs in Michigan look for? The top searched job categories for Data Engineering jobs in Michigan are:
What cities in Michigan are hiring for Data Engineering jobs? Cities in Michigan with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Michigan as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $143,829 per year, or $69.1 per hour.
Cloud Data Engineer

Cloud Data Engineer

Amway Inc.

Ada, MI

$92K - $113K/yr

Full-time

Posted 28 days ago

Job description

Job title:  Data Engineer 

Department / Division:  Data Engineering & Enterprise Integrations/ Data Warehousing

Salary Range: $92,196/yr - $113,890/yr plus bonus

Location:  Ada, MI (onsite)

What we’re looking for:

We are seeking an experienced Data Engineer to support the modernization of our enterprise data platform as we continue migrating from on‑premise systems to a cloud‑native architecture on Google Cloud Platform (GCP). This is a hands‑on, individual contributor role focused on building scalable, reliable data pipelines that power analytics, reporting, and data products across the organization.

In this role, you’ll work across the full data lifecycle—from ingestion and transformation to governance and consumption—while partnering closely with supply chain, analytics, and global market teams. The work blends project‑based cloud migration with operational data ingestion support, offering both ownership and variety.

What your day-to-day may include:

  • Designing, building, and maintaining ETL/ELT data pipelines using Python and SQL
  • Migrating legacy on‑premise data warehouses and BI datasets to cloud platforms
  • Supporting BI and data warehouse migration initiatives, including large-scale supply chain data
  • Responding to and resolving data ingestion tickets from global markets
  • Collaborating with analysts, data scientists, and business partners to understand data requirements
  • Implementing data quality, monitoring, and reliability practices
  • Leveraging modern developer tools, including AI‑assisted coding tools, to improve efficiency
  • Contributing to governance activities such as metadata management, tagging, and lineage tracking

This role balances heads‑down engineering work with collaboration and cross‑functional problem solving.

Required Qualifications:

  • 2+ years of hands‑on experience as a Data Engineer or similar role
  • Bachelor’s degree in Computer Science, Data Engineering, or a related technical field (or 5+ years of equivalent experience) 
  • Advanced proficiency in SQL, including query optimization and data modeling
  • Strong programming experience in Python for data pipelines and automation
  • Experience designing and building ETL/ELT pipelines for enterprise data platforms
  • Hands‑on experience with at least one cloud platform (GCP preferred; AWS or Azure acceptable)
  • Experience with distributed or big‑data processing frameworks (e.g., Spark, Beam, Hadoop)

 

Skills to Be Successful in the Role:

  • Familiarity with Google Cloud Platform services such as BigQuery, Dataflow, or Dataplex.
  • Experience with modern data warehousing concepts (partitioning, clustering, performance tuning).
  • Exposure to orchestration tools (Airflow / Cloud Composer or similar).
  • Understanding of streaming or event‑driven data architectures (Pub/Sub, Kafka)
  • Knowledge of data governance practices including metadata, lineage, and quality checks.
  • Experience working in Agile/Scrum environments.
  • Strong communication skills and ability to collaborate with technical and non‑technical partners.
  • Comfort navigating ambiguity and learning complex enterprise data ecosystems quickly.

Amway does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need Amway immigration sponsorship (e.g., H-1B, STEM OPT, TN, etc.) now or in the future.

 

What’s Special About This Team

The Data Engineering team is leading the transformation of our global data platform, moving from fragmented, localized, on‑premise systems to a unified, cloud‑native ecosystem on Google Cloud Platform.

Our platform serves as a single source of truth for enterprise data, delivering governed, reliable, and high‑quality datasets that power:

  • Operational and executive reporting
  • Advanced analytics and data science initiatives
  • Analytical products used across global markets

The team partners closely with center‑led functional groups (ABO, Customer, Product) and Market Analytics teams worldwide. You’ll join a collaborative group of experienced engineers working on high‑impact modernization efforts, with opportunities to influence platform standards, tooling, and best practices while continuing to grow your technical skills.

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