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Power Bi Data Engineer Jobs in Michigan (NOW HIRING)

BI Data Engineer

Auburn Hills, MI

$108.40K - $130.10K/yr

Work with the team to maintain semantic models and datasets used by Power BI report developers ... Learn data modeling fundamentals such as star schema design and the medallion architecture (Bronze ...

Data Engineer

Troy, MI · On-site

$60 - $65/hr

Data Engineer Location: Troy, MI (Onsite) Job Type: Contract Rate: $60-65/hr Role Description ... Build interactive Power BI dashboards and reports for marketing and retail KPIs. Implement DAX ...

Junior Power BI Developer

Detroit, MI · On-site

$66.30K - $86.10K/yr

Remote (Work From Home) Employment Type: Full-Time Job Summary We are looking for a detail-oriented Junior Power BI Developer to support our data analytics and reporting functions. This role is well ...

The Power BI Lead Developer is a role withing the Finance department where hands on experience ... Explores large data sets and relational databases, perform analyses and identify unique ...

The Power BI Lead Developer is a role withing the Finance department where hands on experience ... Explores large data sets and relational databases, perform analyses and identify unique ...

Data Engineer

Lansing, MI

$125K - $155K/yr

Work closely with developers to structure data for efficient Power BI usage, including semantic ... modeling and partitioning. * Collaborate with business analysts and stakeholders to gather ...

Data Engineer

Lansing, MI

$125K - $155K/yr

Work closely with developers to structure data for efficient Power BI usage, including semantic ... modeling and partitioning. * Collaborate with business analysts and stakeholders to gather ...

Data Engineer

Southfield, MI · Hybrid

$105K - $126.10K/yr

Partner with BI teams to deliver dashboards, models, and visualizations using Power BI and other ... The ideal Data Engineer would be someone with deep experience in many (if not all) of the following:

Data Engineer

Warren, MI · Hybrid

$107.30K - $128.80K/yr

Partner with BI teams to deliver dashboards, models, and visualizations using Power BI and other ... The ideal Data Engineer would be someone with deep experience in many (if not all) of the following:

Senior Power BI Developer Category: Software Development/ Engineering Main location: United States ... Design, develop, and maintain reports, dashboards, and data visualizations using Power BI, SQL ...

Data Engineer

Auburn Hills, MI · On-site

$108.40K - $130.10K/yr

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer , preferably with a finance ... SQL * Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse) Preferred ...

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Power Bi Data Engineer information

See Michigan salary details

$39

$55

$71

How much do power bi data engineer jobs pay per hour?

As of May 28, 2026, the average hourly pay for power bi data engineer in Michigan is $55.28, according to ZipRecruiter salary data. Most workers in this role earn between $49.57 and $61.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Power BI Data Engineer, and why are they important?

To thrive as a Power BI Data Engineer, you need expertise in data modeling, ETL processes, SQL, and a strong understanding of business intelligence concepts, typically backed by a degree in computer science or a related field. Proficiency in Power BI, DAX, Power Query, and experience with cloud platforms like Azure are crucial, and certifications such as Microsoft Certified: Data Analyst Associate can be advantageous. Strong analytical thinking, problem-solving, and effective communication help in translating business requirements into actionable data insights. These skills ensure the delivery of accurate, impactful dashboards and reports that drive informed decision-making within organizations.

How do Power BI Data Engineers typically collaborate with business analysts and stakeholders during a project?

Power BI Data Engineers work closely with business analysts and stakeholders to understand reporting needs, translate requirements into technical solutions, and ensure data models support actionable insights. They often participate in requirement-gathering sessions, clarify data sources, and provide expertise on data integration and visualization best practices. Regular communication and feedback loops are essential to ensure the final dashboards and reports meet business objectives and remain scalable for future enhancements.

What is a Power BI Data Engineer?

A Power BI Data Engineer is a professional who specializes in designing, building, and managing data solutions using Microsoft Power BI and related technologies. Their primary responsibilities include data modeling, transforming raw data into insightful reports and dashboards, and ensuring data quality and security. They work closely with business analysts and stakeholders to understand data requirements and deliver actionable business intelligence. Power BI Data Engineers often utilize various data sources, integrate them with Power BI, and optimize performance for reporting and analytics.

What is the difference between Power Bi Data Engineer vs Power BI Developer?

AspectPower Bi Data EngineerPower BI Developer
Primary FocusBuilding data pipelines, data architecture, and integrating data sourcesCreating reports, dashboards, and visualizations for end-users
Skills & CertificationsData modeling, ETL processes, SQL, Azure Data servicesPower BI, DAX, data visualization, report design
Work EnvironmentData warehouses, backend data systems, cloud platformsBusiness units, end-user reporting, front-end visualization
Common UsageData engineering teams, BI infrastructure setupBusiness analysts, report creators, end-user support

While both roles work with Power BI, the Power Bi Data Engineer primarily focuses on data infrastructure, pipelines, and integration, whereas the Power BI Developer concentrates on designing and developing reports and dashboards for business insights.

What cities in Michigan are hiring for Power Bi Data Engineer jobs? Cities in Michigan with the most Power Bi Data Engineer job openings:
BI Data Engineer

$108.40K - $130.10K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago


Teijin Automotive Technologies rating

5.9

Company rating: 5.9 out of 10

Based on 28 frontline employees who took The Breakroom Quiz


Job description

CSP is the industry leader in the formulation and molding of lightweight, advanced composite components for the transportation industries. As an innovative, full-service Tier One supplier, we offer an entrepreneurial environment where you're only limited by your own imagination. In addition to our team-focused environment, we provide industry-leading benefits, called BENEfits4U. Our comprehensive offering includes: affordable medical, dental, and vision care; flexible spending accounts; life insurance; 401k with company match and much, much more.
Job Description
What You'll Do
Learn the Data Environment
  • Assist senior team members in building and maintaining tables, schemas, and data models inside Microsoft Fabric to support Power BI dashboards.
  • Help translate business requirements (provided by the BI Business Analyst) into clean, well-organized data structures, with guidance from senior engineers.
  • Write SQL queries and basic Python scripts to transform and clean data, learning best practices along the way.
  • Document tables, transformations, and pipelines clearly so the team can rely on your work.

Support Pipeline Development
  • Contribute to data pipelines that bring information from source systems (such as ERP and other business platforms) into our Fabric environment.
  • Help schedule and monitor pipelines, learning how to identify and troubleshoot common failures.
  • Suggest small improvements to reduce manual work and improve data quality.

Build Reporting Skills
  • Work with the team to maintain semantic models and datasets used by Power BI report developers.
  • Practice writing DAX measures and calculated columns under the guidance of senior team members.
  • Learn data modeling fundamentals such as star schema design and the medallion architecture (Bronze / Silver / Gold layers).

Collaborate and Grow
  • Participate in sprint planning, code reviews, and design discussions - your questions are welcome.
  • Communicate progress, blockers, and questions clearly to teammates and stakeholders.
  • Take advantage of training, certifications, and mentorship to expand your skills over time.

Skills We're Looking For
We do not expect candidates to be experts in every area. Foundational knowledge - from coursework, bootcamps, internships, or personal projects - is enough for required skills. Preferred skills are nice-to-haves and can be learned on the job.
Skill / Technology
Expected Level
Classification
SQL
Foundational
Required
Python
Foundational
Required
Power BI & DAX
Beginner / Exposure
Required
Microsoft Fabric
Willingness to learn
Required
Data Modeling Concepts
Beginner / Coursework
Required
PySpark
Exposure
Preferred
Git / Version Control
Familiarity
Preferred
ERP Systems
Awareness
Preferred
Qualifications
Required
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related field - OR equivalent practical experience (bootcamp, internships, certifications, or hands-on projects).
  • 0-2 years of professional experience. Internships, capstone projects, and significant personal projects count.
  • Foundational SQL skills - comfortable writing SELECT, JOIN, GROUP BY, and basic aggregate queries.
  • Basic Python skills for working with data (e.g., pandas, simple scripts, notebooks).
  • Some exposure to Power BI or another visualization tool, even if only through coursework or self-study.
  • Understanding of basic data concepts such as tables, relationships, and joins.
  • Strong written and verbal communication skills, and a willingness to ask questions.
  • Eagerness to learn Microsoft Fabric, DAX, and modern data engineering practices on the job.

Preferred (Nice to Have)
  • Coursework, certifications, or hands-on practice with Microsoft Fabric, Azure Synapse, Azure Data Factory, or Azure Data Lake.
  • Familiarity with PySpark or distributed data processing concepts.
  • Awareness of ERP systems and how business data is typically structured.
  • Experience using Git for version control.
  • Microsoft certifications such as DP-900 (Azure Data Fundamentals), PL-300 (Power BI Data Analyst), or DP-600 (Fabric Analytics Engineer).
  • Personal projects, GitHub portfolio, Kaggle work, or contributions to open-source data projects.

If you enjoy innovation, and an opportunity to learn and contribute to a growing organization, CSP is the place for you!

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