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Data Platform Engineer Jobs in Michigan (NOW HIRING)

Kanak Elite Services Inc

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

DATA ENGINEER LOCATION: HYBRID IN OKEMOS, MI OFFICE 2 DAYS A WEEK + 3 DAYS REMOTE (ONLY LOCALS ... Snowflake) and application platforms (e.g. Salesforce), where data may be consumed by end customers.

Omni Inclusive

Sr.Developer

Dearborn, MI · On-site

Ford Data Factory Platform Engineer Primary and Secondary skill set - GCP- (BigQuery,DataFlow,DataFusion,DataProc), Hadoop Eco system Roles/Responsibilities (5 - 8 day to day candidate ...

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Data engineering, data product development and software product launches * At least three of the ... Real-Time data streaming platform like Apache Kafka, GCP Pub/Sub * Microservices architecture to ...

HTC Global Services

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer III Overview / Summary We are seeking a Data Engineer III to design, build, and ... Design, implement, and maintain data platforms, including data warehouses, data lakes, and data ...

HTC Global Services

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer III Overview / Summary We are seeking a Data Engineer III to design, build, and ... Design, implement, and maintain data platforms, including data warehouses, data lakes, and data ...

HTC Global Services Inc

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer III Overview / Summary We are seeking a Data Engineer III to design, build, and ... Design, implement, and maintain data platforms, including data warehouses, data lakes, and data ...

FastTek

Software Engineer

Dearborn, MI · On-site

Lead the ingestion and integration of data from various sources into the data platform, ensuring ... Engineer 3 Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang. 6+ years in IT; 4+ years in ...

Apex Systems

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Google Cloud Platform Data Engineer Location: 4 days/week onsite in SE MI Duration: Long-Term Contract Description: The Data Engineer is responsible for designing, building, and maintaining scalable ...

Stellantis

Data Engineer - Supply Chain

Auburn Hills, MI · On-site

$108K - $130K/yr

The Data Engineer partners closely with Data Science, AI Engineering, Automation, and Platform teams to deliver high-quality data assets embedded into operational workflows. Responsibilities include ...

Corning

$104K - $125K/yr

This position is ideal for a hands-on Data Engineer who has strong Python and SQL fundamentals and is interested in growing within modern data platforms, manufacturing data, and AI-enabled solutions.

BISSELL Homecare

Sr. Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Overview The Sr. Data Engineer will serve as a key technical contributor responsible for the design, development, and ongoing support of the company's enterprise data platform and business ...

HTC Global Services Inc

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

Job Title Data Engineer (Google Cloud Platform - GCP) Overview We are seeking a Data Engineer with experience designing, building, and maintaining scalable data solutions. This role is responsible ...

HTC Global Services

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

Job Title Data Engineer (Google Cloud Platform - GCP) Overview We are seeking a Data Engineer with experience designing, building, and maintaining scalable data solutions. This role is responsible ...

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Showing results 41-60

All JobsData Platform Engineer JobsData Platform Engineer Jobs in Michigan

Data Platform Engineer information

See Michigan salary details

$38.8K

$113.1K

$154.7K

How much do data platform engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data platform engineer 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 is a data platform engineer?

A Data Platform Engineer designs, builds, and maintains scalable data infrastructure to support analytics, machine learning, and business intelligence. They work with data pipelines, databases, and cloud technologies to ensure efficient data storage, processing, and retrieval. Their role involves optimizing performance, ensuring data security, and enabling reliable data access for engineers and analysts.

What are some typical challenges a data platform engineer may encounter in their day-to-day work?

Data Platform Engineers often navigate challenges such as ensuring high data availability, optimizing system performance, and maintaining data security in evolving cloud or hybrid environments. They frequently address issues related to scaling infrastructure to handle growing data volumes, integrating legacy systems, and automating data pipelines. Collaboration with data scientists, analysts, and software engineers is essential to ensure data solutions meet business requirements. Adapting swiftly to new technologies and troubleshooting complex issues are key parts of the role, making it both dynamic and rewarding for those who enjoy problem-solving.

What are the key skills and qualifications needed to thrive in the data platform engineer position, and why are they important?

To thrive as a Data Platform Engineer, you need a solid understanding of database architectures, data modeling, ETL processes, and programming languages such as SQL, Python, or Scala, often supported by a degree in computer science or a related field. Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud), big data tools (like Hadoop, Spark), and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving skills, effective communication, and an ability to work collaboratively within cross-functional teams distinguish top candidates. These skills ensure that data systems are reliable, scalable, and aligned with organizational goals, enabling informed decision-making and innovation.

What are the most commonly searched types of Data Platform Engineer jobs in Michigan?

The most popular types of Data Platform Engineer jobs in Michigan are:

What are popular job titles related to Data Platform Engineer jobs in Michigan?

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

What job categories do people searching Data Platform Engineer jobs in Michigan look for?

The top searched job categories for Data Platform Engineer jobs in Michigan are:

Data Platform Engineer jobs near you
Infographic showing various Data Platform Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $113,060 per year, or $54.4 per hour.

Data Engineer

Kanak Elite Services Inc

Okemos, MI • On-site

$103K - $124K/yr

Contractor

Re-posted 21 days ago

Job description

Hello There,

Wish you a Happy Monday,

My name is Yashmita, and I am a Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, kindly reply to this email yashmita@kanakits.com with your updated resume.  

JOB TITLE: DATA ENGINEER

LOCATION: HYBRID IN OKEMOS, MI OFFICE 2 DAYS A WEEK + 3 DAYS REMOTE (ONLY LOCALS NEEDED)

INTERVIEW: FACE TO FACE

EXPECTED JOINING TIME (2 WEEKS)

NEED PHOTO ID / LINKEDIN LINK

Description: 

We are looking for a Data Engineer to join our Data Engineering Team. The ideal candidate should have a minimum of 3 years of experience with excellent analytical reasoning and critical thinking skills. The candidate will be a part of a team that creates data pipelines that use change data capture (CDC) mechanisms to move data from on-premises to cloud-based destinations and then transform data to make it available to Customers to consume. 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 analysis and development of technical specifications, programming, and testing of 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 updating the enterprise standards when gaps are identified. 
  • Follows technology best practices and standards and escalates any issues as deemed appropriate. Follows architecture and design best practices (as guided by the Lead Data Engineer, BI Architect, and Architectural team. 
  • Responsible for assisting in configuration and scripting to implement fully automated data pipelines, stored procedures, and functions, and ETL workflows that allow data to flow from on-premises data sources to cloud-based data platforms (e.g. Snowflake) and application platforms (e.g. Salesforce), where data may be consumed by end customers. 
  • Follows standard change control and configuration management practices. 
  • Participates in 24-hour on-call rotation in support of the platform. 

Required Skills/Qualifications:

  • Database Platforms: Snowflake, Oracle, and SQL Server 
  • OS Platforms: RedHat Enterprise Linux and Windows Server 
  • Languages and Tools: PL/SQL, Python, T-SQL, StreamSets, Snowflake Cloud Data Platform, and Informatica PowerCenter, Informatica IICS or IDMC. 
  • Experience creating and maintaining ETL processes that use Salesforce as a destination. 
  • Drive and desire to automate repeatable processes. 
  • Excellent interpersonal skills and communication, as well as the willingness to collaborate with teams across the organization. 

Desired Skills/Qualifications: 

  • Experience creating and maintaining solutions within Snowflake that involve internal file stages, procedures and functions, tasks, and dynamic tables.
  • Experience creating and working with near-real-time data pipelines between relational sources and destinations. 
  • Experience working with StreamSets Data Collector or similar data streaming/pipelining tools (Fivetran, Striim, Airbyte etc.).