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Full Stack Data Engineer Jobs in Michigan (NOW HIRING)

Stefanini Group

Full Stack Developer

Dearborn, MI · On-site

Design, develop, test, and deploy full-stack applications spanning UI, APIs, services, and data ... Proven experience of 10+ years as a Senior Software Engineer with full-stack expertise and a strong ...

Stefanini Group

Full Stack Developer

Dearborn, MI · On-site

Design, develop, test, and deploy full-stack applications spanning UI, APIs, services, and data ... Proven experience of 10+ years as a Senior Software Engineer with full-stack expertise and a strong ...

Stefanini Group

Full Stack Developer

Dearborn, MI · On-site

Design, develop, test, and deploy full-stack applications spanning UI, APIs, services, and data ... Proven experience of 10+ years as a Senior Software Engineer with full-stack expertise and a strong ...

Stefanini

Full Stack Developer

Dearborn, MI · On-site

Data Modeling & WorkflowsTranslate complex engineering data structures including BOMs and part ... full-stack expertise and a strong portfolio of delivered projects.Deep proficiency in Java and ...

Stefanini

Full Stack Developer

Dearborn, MI · On-site

Stefanini is looking for a Full Stack Developer (Dearborn, MI) For quick apply, please reach out to ... Work with Product, Data Engineering, and Platform teams; mentor others, support sprint planning ...

Stefanini

Full Stack Developer

Dearborn, MI · On-site

Data Modeling & Workflows Translate complex engineering data structures--including BOMs and part ... full-stack expertise and a strong portfolio of delivered projects.Deep proficiency in Java and ...

Stefanini Group

Full Stack Developer

Dearborn, MI · On-site

$61 - $66/hr

Stefanini is looking for a Full Stack Developer , Dearborn, MI For quick apply, please reach out to ... Data Modeling & Workflows * Translate complex engineering data structures-including BOMs and part ...

Protera Health

Senior Data Engineer

Troy, MI · On-site +1

$100K - $136K/yr

This is a hands-on, full-stack data role; your responsibilities will span constructing data ... Pipeline Engineering: Build and orchestrate (via Mage) ingestion pipelines (SFTP, APIs, EHR ...

Eccalon LLC

Full Stack Developer

Detroit, MI

Full Stack Developer Location: Detroit, MI On-site Type: Full-time Clearance: No Clearance Required ... Design, develop, and maintain full-stack web applications from UI through API to data layer, with ...

Stefanini

Full Stack Developer

Dearborn, MI · On-site

Full-stack software engineering roles, who can develop all components of software including user ... Data Engineering & Analytics: Build ETL/ELT workflows to process and move developer data from cloud ...

Stefanini Group

Full Stack Developer

Dearborn, MI · On-site

Full-stack software engineering roles, who can develop all components of software including user ... Data Engineering & Analytics : Build ETL/ELT workflows to process and move developer data from ...

Stefanini Group

Full Stack Developer

Dearborn, MI

Full-stack software engineering roles, who can develop all components of software including user ... Data Engineering & Analytics : Build ETL/ELT workflows to process and move developer data from ...

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Showing results 21-40

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Michigan

Full Stack Data Engineer information

See Michigan salary details

$38.8K

$117.5K

$166K

How much do full stack data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for full stack data engineer in Michigan is $117,465.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $137,700.00 per year, depending on experience, location, and employer.

What is a full stack data engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.

How does a full stack data engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

What are the key skills and qualifications needed to thrive as a full stack data engineer, and why are they important?

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

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

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

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

What cities in Michigan are hiring for Full Stack Data Engineer jobs?

Cities in Michigan with the most Full Stack Data Engineer job openings:

Full Stack Data Engineer jobs near you
Infographic showing various Full Stack Data 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 $117,465 per year, or $56.5 per hour.

Senior Full-Stack BI Architect / Fabric Data Engineer

Proactive Technology Management

Ferndale, MI • On-site

$62.50 - $83.75/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 8 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.

Apply