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Full Stack Data Engineer Jobs in Michigan (NOW HIRING)

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 ...

Kanak Elite Services Inc

Full-stack Java developer

Lansing, MI · On-site

$53.25 - $68.75/hr

Full-Stack Java Developer Location:Lansing, MI 12-month + Possible extension This is a full-stack ... Experience programming with Spring Boot, Spring Data, and Bootstrap, Required, 5 Years. Experience ...

Resource Point LLC

Java Developer Full Stack

Lansing, MI · On-site

$53.25 - $68.75/hr

Java Developer Full Stack Location: Lansing, MI Duration: 12+ Months Interview: Face 2 Face As a ... Experience programming with Spring Boot, Spring Data, and Bootstrap, Required, 5 Years.

Cognizant

Full Stack Engineer

Detroit, MI · On-site

Cognizant is seeking a Full Stack Engineer to design and deliver scalable backend data solutions for reliable data processing and real-time insights. The role involves collaborating with cross ...

Orbion Space Technology

Senior Data Engineer

Houghton, MI · On-site

$90K - $122K/yr

Design and implement full-stack applications (data layer, application layer, web server, and ... Mentor junior developers in software development projects * Perform other duties as assigned ...

Bright Mind Solutions LLC

Full-Stack Developer

Warren, MI · On-site

$50 - $55/hr

We're looking for a Senior Full-Stack Software Developer who: * Strives for excellence * Embraces innovation * Thrives in a collaborative, cross-functional team environment * Exhibits a strong work ...

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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 Jun 21, 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 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 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.

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 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.
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
Full Stack Software Engineer (Python, Angular & Cloud Platform)

Full Stack Software Engineer (Python, Angular & Cloud Platform)

HTC Global Services

Dearborn, MI • Hybrid

Other

Posted 6 days ago

Job description

Job Title

Full Stack Software Engineer (Python & Cloud Platform)

Overview

We are seeking a highly motivated Full Stack Software Engineer to join our Platform Engineering team. In this role, you will design, develop, and support scalable cloud-based platform services, data pipelines, and applications. You will contribute to modern cloud architectures, microservices, observability capabilities, and full-stack solutions while collaborating with cross-functional engineering teams.

The ideal candidate has strong Python development experience, cloud platform expertise, and the ability to independently design, develop, test, and release features following SDLC best practices.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and microservices supporting real-time and batch processing.
  • Design and implement service-oriented and microservices-based architectures.
  • Develop robust and scalable services using Python and cloud technologies.
  • Contribute to full-stack application development, including front-end and back-end integration.
  • Design and develop RESTful APIs for integration across platform services.
  • Lead data ingestion and integration from multiple sources into cloud-based platforms.
  • Utilize cloud services to build and manage scalable platform solutions.
  • Implement data governance, access controls, and security best practices.
  • Monitor, optimize, and improve platform performance, scalability, and reliability.
  • Develop and maintain unit and functional tests to ensure quality and test coverage.
  • Manage source code using GitHub and troubleshoot application defects.
  • Support CI/CD processes, Infrastructure as Code (IaC), and automation initiatives.
  • Collaborate with architects, software engineers, and cross-functional teams to establish best practices and design standards.
  • Automate platform processes to improve operational efficiency and reliability.
  • Independently manage feature design, development, testing, and production releases following SDLC best practices.
Required Qualifications Education
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • Master's degree or equivalent experience preferred.
Experience
  • 5 8 years of experience as a Software Engineer.
  • Minimum 5 years of professional experience with Python.
  • Minimum 1 year of experience with Angular, React, or Vue.
  • Minimum 3 years of experience with Google Cloud Platform, AWS, or Azure cloud platforms.
  • Experience with Service-Oriented Architecture (SOA) and microservices.
  • Experience designing and developing RESTful APIs.
  • Experience with relational databases such as PostgreSQL or MySQL.
  • Experience with NoSQL databases and columnar databases such as BigQuery.
  • Experience with Git and CI/CD practices.
  • Strong analytical and problem-solving skills.
Preferred Qualifications
  • Java experience.
  • Experience with Google Cloud Platform services such as BigQuery, Cloud Run, and Pub/Sub.
  • Experience with observability platforms such as Dynatrace or Datadog.
  • Experience with Java Spring Boot.
  • Familiarity with Infrastructure as Code (IaC) tools such as Terraform.
  • Knowledge of front-end and back-end technologies including React and Node.js.
  • Google Cloud Platform Data Engineer or Google Cloud Platform Professional Cloud certifications.


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