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Data Bi Engineer Jobs in Michigan (NOW HIRING)

Data Engineer

Warren, MI · On-site

$45 - $50/hr

You will work closely with our forward-thinking Data Scientists, BI developers, System Architects, and Data Architects to deliver value to our vision for the future. Our team focuses on writing ...

Data Engineer

Warren, MI · On-site

$45 - $50/hr

You will work closely with our forward-thinking Data Scientists, BI developers, System Architects, and Data Architects to deliver value to our vision for the future. Our team focuses on writing ...

We have a job opportunity of a Role BI Data Analyst with given on W2 . Please forward updated ... Use data modeling tools, data analysis tools, advanced programming languages like R, Python, SQL ...

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 ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Associate Data Engineer - Voice of the Customer Analytics Position Overview The Associate Data ... Experience supporting dashboards or reporting solutions using Tableau, Power BI, Superset, or ...

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

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 ...

Data Analytics Engineer

Warren, MI · On-site

$107K - $129K/yr

Use modern data analytics and Business Intelligence tools such as Microsoft Power BI, Microsoft Excel, Microsoft SharePoint, Python and Oracle SQL Developer to perform Complex data analysis to ...

Data Analytics Engineer

Warren, MI · Hybrid

$107K - $129K/yr

Use modern data analytics and Business Intelligence tools such as Microsoft Power BI, Microsoft Excel, Microsoft SharePoint, Python and Oracle SQL Developer to perform Complex data analysis to ...

Sr. Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Working closely with Data Engineers, BI analysts, business stakeholders, and external consultants, this person will architect and evolve the data lake-ensuring data quality and integrity are ...

Cloud Data Engineer

Ada, MI · On-site

$112K - $134K/yr

Amway is seeking an experienced Cloud Data Engineer to support the modernization of their ... BI datasets to cloud platforms • Supporting BI and data warehouse migration initiatives ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Knowledge of Power BI or data visualization tools * Exposure to Generative AI / RAG / LLM concepts ... Cloud or DevOps certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps ...

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Data Bi Engineer information

What are Data BI Engineers?

Data BI (Business Intelligence) Engineers are professionals who design, build, and maintain systems that transform raw data into meaningful business insights. They develop data pipelines, integrate various data sources, and create reports or dashboards to support decision-making processes. Their work ensures that companies have accurate, timely, and actionable information to drive strategy and operations. Data BI Engineers typically work closely with data analysts, data scientists, and business stakeholders.

What is the difference between Data Bi Engineer vs Data Analyst?

AspectData Bi EngineerData Analyst
Primary FocusBuilding data pipelines, data warehousing, and integrating data systemsAnalyzing data to generate reports and insights
Skills & ToolsSQL, ETL processes, data modeling, cloud platformsExcel, SQL, visualization tools like Tableau or Power BI
Work EnvironmentData engineering teams, IT departments, cloud environmentsBusiness units, analytics teams, management
CredentialsData engineering certifications, SQL, cloud certificationsData analysis certifications, SQL, visualization skills

While both roles work with data, Data Bi Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right responsibilities and professionals for their data needs.

How does a Data BI Engineer typically collaborate with business stakeholders and data analysts?

A Data BI Engineer frequently works with business stakeholders and data analysts to understand data requirements, translate business needs into technical specifications, and ensure data solutions align with organizational goals. This role often involves participating in meetings to gather requirements, sharing progress updates, and iterating on dashboards or data pipelines based on feedback. Effective communication is key, as Data BI Engineers must bridge the gap between technical data structures and actionable business insights. Regular collaboration helps ensure that the data solutions provided are both technically sound and valuable for decision-making.

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

To thrive as a Data BI Engineer, you need strong skills in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as experience with data warehouses and cloud platforms like AWS or Azure, is typically required. Critical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities are essential for building reliable data solutions that empower organizations to make informed, data-driven decisions.
What are popular job titles related to Data Bi Engineer jobs in Michigan? For Data Bi Engineer jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Data Bi Engineer jobs? Cities in Michigan with the most Data Bi Engineer job openings:
Infographic showing various Data Bi Engineer job openings in Michigan as of July 2026, with employment types broken down into 65% Full Time, and 35% Contract. Highlights an 76% In-person, 5% Hybrid, and 19% Remote job distribution.
Senior Full-Stack BI Architect / Fabric Data Engineer

Senior Full-Stack BI Architect / Fabric Data Engineer

Proactive Technology Management

Ferndale, MI • On-site, Remote

$62.50 - $83.75/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 3 days ago


Job description

About Us

At Proactive Technology Management, we're transforming how businesses harness data to drive innovation and informed decision-making. As leaders in the SMB space, we leverage cutting-edge technologies to deliver actionable insights that give our clients a competitive advantage. We're seeking a Senior Full-Stack BI Architect / Fabric Data Engineer to design and implement innovative, domain-driven data solutions that humanize data and empower decision-makers. If you have a passion for making data meaningful and impactful, we want to hear from you! 

Role Summary

As a Senior Full-Stack BI Architect / Fabric Data Engineer, you will lead the design and development of robust, enterprise-grade data solutions that prioritize human-centric design through the use of ubiquitous language and domain-driven principles. You will leverage deep expertise in medallion architecture, advanced data modeling, and visualization to ensure our clients receive intuitive, actionable insights. Your technical expertise in the Microsoft Cloud Data Stack, DAX, Power Query M, SQL, and Spark Python will drive success in building scalable, user-friendly solutions. 

Key Responsibilities 
  • Lead the design and implementation of ETL/ELT pipelines within a medallion architecture (Bronze, Silver, and Gold layers) to ensure data quality, scalability, and accessibility across use cases.  
  • Architect and develop advanced data models that reflect domain-driven design principles, aligning with business domains and using ubiquitous language to ensure clarity and usability for all stakeholders.  
  • Design and implement star and snowflake schemas, along with medallion schema practices, to provide flexible, high-performance data structures for analytics.  
  • Create dynamic, user-centric dashboards and advanced reports in Power BI, empowering stakeholders with real-time insights and actionable metrics.  
  • Leverage DAX and Power Query M to craft sophisticated calculations and transformations that enhance data usability and business relevance.  
  • Build and optimize SQL-based solutions for database management, queries, and data integration, ensuring efficiency and scalability.  
  • Use Spark Python for processing large datasets and performing advanced analytics to meet complex business requirements.  
  • Collaborate with business leaders and cross-functional teams to understand data needs, define key performance indicators (KPIs), and ensure alignment with organizational goals.  
  • Stay informed on advancements in data engineering, business intelligence, and analytics, continuously driving innovation and improvement.  
  • Mentor team members to build organizational capacity in BI and data engineering best practices.  

Requirements

Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field; advanced certifications in data engineering or BI are a plus.  
  • 7+ years of experience in data engineering, BI architecture, or a related role, with a focus on enterprise-grade solutions.  
  • In-depth expertise in medallion architecture, data modeling (star schemas, snowflake schemas), and best practices for data warehousing.  
  • Proven ability to implement domain-driven design (DDD) principles, ensuring data solutions reflect business domains and are accessible through ubiquitous language.  
  • Expert-level proficiency in Power BI, DAX, Power Query M, and SQL, with demonstrated success delivering scalable, impactful BI solutions.  
  • Strong programming skills with Spark Python for advanced data processing and analytics.  
  • Experience with the Microsoft Cloud Data Stack (Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric) and other cloud technologies.  
  • A track record of translating complex datasets into intuitive insights, creating value for both technical and non-technical stakeholders.  
  • Exceptional problem-solving skills, attention to detail, and ability to thrive in a fast-paced, dynamic environment.  
  • Strong communication and leadership skills, with a focus on collaboration and stakeholder engagement.  

Benefits

  • Competitive compensation tailored to senior-level expertise.  
  • Opportunities to shape data strategy and lead transformative BI projects.  
  • Ongoing professional development through advanced training and certifications.  
  • A supportive, innovative culture that values diversity, inclusion, and creativity.  
  • Flexible remote work arrangements to support work-life balance.
  • Comprehensive health, dental, and vision insurance
  • 401(k) retirement plan with company match

If you're ready to lead the next evolution of business intelligence-harnessing the power of medallion architecture, domain-driven design, and user-centric modeling-apply today. Help us transform data into a powerful, humanized tool for business success.