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Data Engineering Jobs in Michigan (NOW HIRING)

Data Engineer III

Dearborn, MI ยท On-site

$105K - $126K/yr

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

Auburn Hills, MI ยท 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 ...

Google Cloud Platform Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

The ideal candidate will possess strong expertise in cloud-based data engineering, data modeling, pipeline development, and modern data platforms, while partnering closely with business and ...

Data Engineer (GCP)

Dearborn, MI ยท On-site

$105K - $126K/yr

The ideal candidate has experience with Google Cloud Platform (GCP), modern data engineering practices, and cloud-based data solutions. Key Responsibilities * Collaborate with business and technology ...

Data Engineer (GCP)

Dearborn, MI ยท On-site

$105K - $126K/yr

The ideal candidate has experience with Google Cloud Platform (GCP), modern data engineering practices, and cloud-based data solutions. Key Responsibilities Collaborate with business and technology ...

Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

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 ...

Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

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

Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

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 ...

Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

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

Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

Develop comprehensive documentation for data engineering processes, promoting knowledge sharing, facilitating collaboration, and ensuring long-term system maintainability. Skills RequiredGoogle Cloud ...

Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

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

Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

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

Data Engineer

Dearborn, MI

$105K - $127K/yr

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 ...

Senior Data Engineer

Auburn Hills, MI ยท On-site

$100K - $136K/yr

This role helps engage business, engineering and ICT stakeholders around practical data needs and constraints, scale AI delivery through stronger data models, pipelines, integration pathways, quality ...

$104K - $125K/yr

What do you need to have? - Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or another related technical discipline. - At least 1 year of experience in data engineering ...

Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

This role partners closely with data science, analytics, and engineering teams to deliver reliable, high-performance data solutions in a modern cloud lakehouse environment. Summary: The Senior Data ...

Showing results 41-60

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.

Data Engineer III

HTC Global Services

Dearborn, MI โ€ข On-site

$105K - $126K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

Data Engineer III Overview / Summary

We are seeking a Data Engineer III to design, build, and maintain scalable data solutions, including data infrastructure, pipelines, platforms, and applications for collecting, storing, processing, and analyzing large volumes of data efficiently and accurately.

This role will focus on developing scalable data ingestion and curation pipelines, building and managing cloud-based data platforms, improving data quality and performance, and collaborating with technical and business stakeholders to support data engineering initiatives.

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.
  • Design, implement, and maintain data platforms, including data warehouses, data lakes, and data lakehouses for structured and unstructured data.
  • 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 curation pipelines from diverse data sources.
  • Standardize and optimize data for analytical use while maintaining data quality.
  • Leverage Python, SQL, and DBT/Dataform to build robust and efficient data pipelines.
  • Utilize Google Cloud Platform services, including BigQuery, Dataflow, Pub/Sub, and Cloud Functions, to build and manage data platforms.
  • Implement and manage data governance policies, access controls, and security best practices.
  • Support efficient data workflow management and cloud infrastructure provisioning using Infrastructure as Code (IaC) best practices.
  • Monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions.
  • Identify opportunities to improve resource utilization and cost-effectiveness.
  • Collaborate with data architects, application architects, and cross-functional teams to define and promote best practices, design patterns, and frameworks for cloud data engineering.
  • Automate data platform processes to improve reliability, data quality, and operational efficiency.
  • Communicate complex technical decisions clearly to technical and non-technical stakeholders.
  • Stay current with industry trends and emerging technologies and identify opportunities to improve data platforms and capabilities.
  • Develop comprehensive documentation for data engineering processes to support knowledge sharing, collaboration, and long-term system maintainability.
Required Qualifications
  • 7+ years of experience in Data Engineering.
  • Bachelor's degree.
  • Experience with Google Cloud Platform (Google Cloud Platform).
  • Experience with Google Cloud Platform Cloud Run and BigQuery.
  • Experience with Kafka.
  • Experience with cloud architecture and cloud computing.
  • Experience with software development and application development.
  • Experience with SQL.
  • Experience with Big Data technologies.
  • Experience with Java.
  • Experience with Python.
  • Experience with application testing.
  • Experience with Agile software development.
  • Experience with APIs.
  • Experience related to Artificial Intelligence and Expert Systems.

What Makes HTC A Great Place To Build Your Future

HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.

At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

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