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Power Bi Data Engineer Jobs in Michigan (NOW HIRING)

BDO

Power BI Lead Developer

Grand Rapids, MI · On-site

The Power BI Lead Developer is a role withing the Finance department where hands on experience ... Collaborates with data governance team in developing data modeling standards, standardized datasets ...

CFS

Senior Data Engineer

Lansing, MI · On-site

$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 ...

HTC Global Services

Data Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

Data Engineer (Azure, Microsoft Dynamics 365 & Power BI) Overview / Summary The Data Engineer is responsible for developing, maintaining, and optimizing the organization's data platform, with a ...

HTC Global Services

Data Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

Data Engineer (Azure, Microsoft Dynamics 365 & Power BI) Overview / Summary The Data Engineer is responsible for developing, maintaining, and optimizing the organization's data platform, with a ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/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 ...

Varsity Tutors

Microsoft Power BI Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Deep knowledge of Power BI data modeling, DAX formulas, data visualization, report design, dashboard creation, data transformation with Power Query, data source connections, and sharing and ...

Varsity Tutors

Microsoft Power BI Tutor

Detroit, MI · Remote

$18 - $40/hr

Deep knowledge of Power BI data modeling, DAX formulas, data visualization, report design, dashboard creation, data transformation with Power Query, data source connections, and sharing and ...

Varsity Tutors

Microsoft Power BI Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

Deep knowledge of Power BI data modeling, DAX formulas, data visualization, report design, dashboard creation, data transformation with Power Query, data source connections, and sharing and ...

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Power Bi Data Engineer information

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

As of Aug 24, 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 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 are the key skills and qualifications needed to thrive as a Power BI data engineer?

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 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.

Is Power Bi Data Engineer still in demand in 2026 and after 2026?

Power BI Data Engineers are expected to remain in demand beyond 2026 due to ongoing needs for data visualization, reporting, and analytics in organizations. As businesses increasingly rely on data-driven decision-making, skills in Power BI, data modeling, and cloud integration will continue to be valuable in the job market.

Is Power Bi Data Engineer still in demand?

Power BI Data Engineers are in high demand due to the increasing need for data visualization and analytics in organizations. Skills in data modeling, ETL processes, and proficiency with Power BI tools are valuable, and demand is expected to grow as companies prioritize data-driven decision-making.

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

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

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

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

What cities in Michigan are hiring for Power Bi Data Engineer jobs?

Cities in Michigan with the most Power Bi Data Engineer job openings:

Power Bi Data Engineer jobs near you

Senior Finance Data Engineer / Data Analyst

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 27 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

15th of 45 rated automakers

Job description

We are seeking a Finance Data Engineer / Data Analyst to support the FP&A organization by developing and maintaining Power BI-based financial reporting and analytics solutions. The ideal candidate will have strong data management and modeling skills, paired with a foundational understanding of financial concepts.
Responsibilities Include:
  • Manage the full Power BI data lifecycle: from data extraction and transformation (Bronze/Silver layers) to semantic modeling and dashboard development (Gold layer)
  • Ensure data accuracy, performance, and security across all FP&A reporting tools
  • Handle user access and role-level security within Power BI Service

Key Skills & Requirements:
  • Advanced proficiency in Power BI, Power Query, and DAX
  • Experience integrating data from multiple sources (e.g., Excel, CSV, ERP systems like SAP or OneStream)
  • Ability to clean, transform, and standardize data into analytics-ready models
  • Experience deploying and maintaining dashboards in Power BI Service
  • Basic understanding of financial reporting structures (e.g., P&L, revenue, cost, variance analysis)
  • Strong analytical mindset with attention to data accuracy, consistency, and performance optimization

Basic Qualifications:
  • Bachelor's degree in Data Analytics, Computer Science, Financial Technology or a related field
  • Minimum of 5 years' extensive experience with PowerBI
  • Minimum of 8 years' overall relevant work experience
  • Thrive in a fast-paced, dynamic work environment

Preferred Qualifications:
  • Power BI certification or similar credentials
  • Experience with ETL tools or scripting languages (e.g., SQL, Python) for advanced data transformation
  • Experience with Onestream, SAP or Oracle tools

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