ZipRecruiter

Log In

1

Data Platform Engineer Jobs in Michigan (NOW HIRING)

Deloitte

Databricks Data Engineer

Detroit, MI

$113K - $136K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ... Support the modernization of enterprise data platforms by implementing cloud-based ingestion ...

Ford Motor Company

ALM Platform Engineer

Dearborn, MI · Hybrid

$86K - $144K/yr

... engineering solutions around an ALM/requirements/test/issue platform. * Hands-on experience with at ... data exchange. * 3-5 years' experience with Intermediate scripting experience (Python preferred ...

FastTek

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer #1051303 * Data Pipeline Architect & Builder: Spearhead the design, development, and ... Proactively automate data platform processes to enhance reliability, improve data quality, minimize ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1051264 * Data Pipeline Architect & Builder: Spearhead the design, development, and ... Proactively automate data platform processes to enhance reliability, improve data quality, minimize ...

Mobilisights Connect

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The Data Engineer will design and build a scalable data platform, implement low latency streaming data pipelines, and ensure operational excellence through monitoring and troubleshooting.

TalentBurst, Inc.

Software Engineer

Dearborn, MI

As a Software Engineer on our Platform Observability team, you will be at the heart of our ... Automate data platform processes to enhance reliability, reduce manual intervention, and improve ...

Tech Tammina LLC

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

Data Engineer Location: Okemos, MI (Hybrid/ Onsite) Duration: Long term Rate: Market F2F is must ... Snowflake) and application platforms (e.g. Salesforce), where data may be consumed by end customers.

FastTek

Core Senior Engineer

Dearborn, MI · On-site

$112K - $148K/yr

Ability to leverage best in-class data platform technologies to deliver platform features, and ... GCP Data Engineer, GCP Professional Cloud Skills Required: * Python, GCP, Angular, AWS, Azure ...

Amway Inc.

Cloud Data Engineer

Ada, MI · On-site

$92K - $113K/yr

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 ...

Sun RV Resorts

Senior Data Engineer

Southfield, MI

$97K - $132K/yr

They will facilitate modern data platform processes and procedures for Sun and will establish robust data governance and management best practices. The Sr. Data Engineer works under the leadership of ...

Sun Communities, Inc.

Senior Data Engineer

Southfield, MI · On-site

$97K - $132K/yr

They will facilitate modern data platform processes and procedures for Sun and will establish robust data governance and management best practices. The Sr. Data Engineer works under the leadership of ...

next page

Showing results 1-20

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 Jul 2, 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 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 is a Data Platform Engineer job?

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 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 June 2026, with employment types broken down into 3% As Needed, 87% Full Time, and 10% 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.
IT Data Engineer

IT Data Engineer

Western Michigan University

Kalamazoo, MI • On-site

$65K - $76K/yr

Full-time

Medical, Retirement, PTO

Posted 26 days ago

Western Michigan University rating

6.7

Company rating: 6.7 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

426th of 544 rated colleges and universities

Job description

Description
The Data Engineer is responsible for designing, building, and maintaining the organization's data
infrastructure to support a scalable, governed, and analytics-ready environment. This role focuses on the
development of robust data pipelines, integration of disparate data sources, and optimization of data storage
and processing frameworks, while contributing to the evolution of the WMed data platform toward a data-asa-
service (DaaS) model that enables standardized, secure, and reusable access to trusted data assets
across clinical operations, medical education, research, compliance, and executive decision-making.
Working within a modern data architecture, the Data Engineer transforms fragmented, system-centric data
into structured, reliable, and accessible datasets. This role partners closely with analysts, stakeholders, and
technical teams to ensure data availability, integrity, and performance across platforms including partner
EHRs, academic systems, and enterprise applications.
Please Note this is a Salaried Hybrid Position that will require on-site attendance. (MI residents only or willing to relocate - at their expense, to Michigan)
This position is NOT eligible for employer-sponsored work authorization (visa sponsorship), now or in the future.
BENEFITS
  • Wellness reimbursement.
  • Continuing education and tuition reimbursement.
  • Employer-funded retirement plan.
  • Two medical plan options: PPO and High Deductible Health Plan (HDHP) with employer HSA contribution.
  • Flexible work solutions based on position and department.
  • Up to four weeks of PTO accrual beginning in year one.
  • Paid holidays.
  • Paid volunteer time.
  • Paid preferred holiday.

DUTIES AND RESPONSIBILITIES:
  • Design, build, and maintain scalable data pipelines to ingest, transform, and load data from clinical, academic, and enterprise systems
  • Develop and manage ETL processes using tools such as Pentaho and Microsoft SSIS, ensuring reliability and performance
  • Design and implement data models and schemas to support downstream analytics and reporting use cases
  • Contribute to the development of a DaaS platform, enabling reusable, governed data products and standardized access patterns for analysts, applications, and self-service users
  • Optimize and maintain PostgreSQL data environments, including performance tuning and storage strategies
  • Implement and monitor data quality, validation, and error-handling processes
  • Establish and maintain data lineage, metadata, and documentation to support governance and transparency
  • Integrate new data sources into the data platform, including APIs, flat files, and third-party systems
  • Troubleshoot and resolve data issues across the full data lifecycle
  • Support the evolution of organizational data architecture toward a modern, scalable platform
  • Contribute to standards, best practices, and governance frameworks for data engineering
  • All other duties as assigned

Requirements
To perform this job successfully, an individual must be able to perform each duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
EDUCATION AND/OR EXPERIENCE:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related technical field (or equivalent experience).
  • 3 to 5 years of experience in data engineering, ETL development, or data platform engineering.
  • Advanced proficiency in SQL (PostgreSQL or similar relational databases).
  • Experience designing and managing data pipelines and workflows (Pentaho, Microsoft SSIS, or similar ETL tools).
  • Experience working with healthcare data systems preferred.
  • Experience integrating academic and enterprise systems preferred.

OTHER SKILLS AND ABILITIES:
  • Strong understanding of data architecture, data modeling, and data warehousing concepts.
  • Experience building and maintaining data pipelines (ETL), orchestration, and scheduling frameworks.
  • Knowledge of data warehousing and/or data lake architectures.
  • Experience with data quality frameworks, validation, and monitoring.
  • Familiarity with performance tuning and query optimization.
  • Familiarity with modern data platform concepts including DaaS and self-service analytics enablement.
  • Understanding of data governance, lineage, and metadata management concepts.
  • Experience working with structured and semi-structured data (CSV, JSON, APIs).
  • Ability to troubleshoot data issues across multiple systems and layers (source to pipeline to warehouse to reporting).
  • Experience with BI tools (Power BI or similar) for downstream data consumption.
  • Ability to learn and adapt to evolving data technologies and platforms.

What Western Michigan University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply