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Junior Full Stack Engineer Jobs in Michigan (NOW HIRING)

The Senior Full-stack Software Engineer will engage in high-visibility projects, delivering solutions that drive value for Deloitte while collaborating with cross-functional teams to develop and ...

Salary: $100 - $125k Full-Stack Software Engineer Luxome is a direct-to-consumer luxury comfort brand. Since launching in 2018, we've served over 600,000 customers and earned more than 30,000 reviews ...

Full Stack Developer Location: Okemos, MI Duration: Long term Rate: Market * We are looking for a Senior Application Developer. * The ideal candidate should have at least 5 years of experience, as a ...

Sr. Full Stack Java Developer

Okemos, MI · On-site

$47.50 - $61.25/hr

Full Stack Developer Location: Hybrid - Okemos, MI Angular 17 or Angular 19 experience Must We are looking for a Senior Full stack Developer . The ideal candidate should have at least 5 years of ...

Sr. Full Stack Java Developer

Okemos, MI · On-site

$47.50 - $61.25/hr

Full Stack Developer Location: Hybrid - Okemos, MI Angular 17 or Angular 19 experience Must We are looking for a Senior Full stack Developer . The ideal candidate should have at least 5 years of ...

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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Junior Full Stack Engineer information

See Michigan salary details

$40.5K

$82.4K

$123.8K

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

As of Jun 16, 2026, the average yearly pay for junior full stack engineer in Michigan is $82,403.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,600.00 and $83,200.00 per year, depending on experience, location, and employer.

What is a Junior Full Stack Engineer?

A Junior Full Stack Engineer is an entry-level software developer who works on both the front-end and back-end of web applications. They are typically responsible for building, testing, and maintaining features across the entire technology stack, often under the supervision of more experienced engineers. Juniors work with languages and frameworks such as JavaScript, HTML, CSS, Node.js, and databases like SQL or MongoDB. While they may not have deep expertise yet, they are expected to learn quickly, collaborate with team members, and gradually take on more complex tasks.

How does a Junior Full Stack Engineer typically collaborate with other team members on a project?

As a Junior Full Stack Engineer, you’ll regularly work alongside front-end and back-end developers, designers, and product managers to deliver features and resolve issues. Collaboration often includes participating in daily stand-ups, code reviews, and sprint planning sessions. You’ll be expected to communicate progress and challenges clearly, seek guidance when needed, and contribute to shared code repositories using version control tools like Git. This collaborative environment helps you learn quickly and build strong relationships within a multidisciplinary team.

What is the difference between Junior Full Stack Engineer vs Junior Front End Developer?

AspectJunior Full Stack EngineerJunior Front End Developer
Required SkillsProficiency in both front-end and back-end technologies (HTML, CSS, JavaScript, server-side languages, databases)Strong skills in HTML, CSS, JavaScript, and front-end frameworks (React, Angular, Vue)
Work EnvironmentWorks on both client-side and server-side development, often in full project cyclesFocuses primarily on user interface and user experience development
Common UsageUsed in startups and small to medium companies requiring versatile developersCommon in companies emphasizing UI/UX and front-end design

The main difference is that a Junior Full Stack Engineer handles both front-end and back-end tasks, while a Junior Front End Developer specializes in user interface development. The full stack role requires knowledge of server-side technologies, whereas the front-end role focuses on creating engaging user experiences.

What are the key skills and qualifications needed to thrive as a Junior Full Stack Engineer, and why are they important?

To thrive as a Junior Full Stack Engineer, you need a solid understanding of front-end and back-end development concepts, programming languages like JavaScript, HTML, CSS, and familiarity with frameworks such as React and Node.js, often supported by a bachelor's degree in computer science or related experience. Experience using version control systems like Git, basic database management (SQL/NoSQL), and cloud platforms is typically required. Strong problem-solving, teamwork, and communication skills help you collaborate effectively and adapt to fast-changing project needs. These abilities are essential for building reliable, scalable web applications and contributing meaningfully to development teams.
What are the most commonly searched types of Full Stack Engineer jobs in Michigan? The most popular types of Full Stack Engineer jobs in Michigan are:
What cities in Michigan are hiring for Junior Full Stack Engineer jobs? Cities in Michigan with the most Junior Full Stack Engineer job openings:
Infographic showing various Junior Full Stack Engineer job openings in Michigan as of June 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $82,403 per year, or $39.6 per hour.

Data Full Stack Engineer (Workday ERP & Databricks)

Purple Drive Technologies

Troy, MI • On-site

Full-time

Posted 12 days ago


Job description

Overview:
Data Full Stack Engineer (Workday ERP & Databricks)
Job Summary
We are seeking a Data Full Stack Engineer with strong expertise in Workday ERP (Finance & HCM) and modern data engineering platforms (Databricks).
The ideal candidate will own the end-to-end data lifecycle, including extraction of Workday data, building scalable pipelines, and delivering analytics-ready datasets for Finance and HR use cases.
This role bridges ERP domain knowledge and data engineering, enabling reliable and governed data solutions in a Lakehouse architecture.
Key Responsibilities
Workday Integration & Data Extraction
  • Design and develop integrations to extract data from:
    • Workday Financial modules (GL, AP, AR, Invoicing, Supplier/Customer data)
    • Workday HCM modules (Workers, Compensation, Absence, Recruiting)
  • Build and maintain:
    • RaaS (Reports-as-a-Service)
    • WQL (Workday Query Language) reports
  • Develop integrations using:
    • REST / SOAP APIs
  • Manage:
    • Integration System Users (ISUs)
    • Security roles and access controls
Data Engineering (Databricks)
  • Build scalable ETL/ELT pipelines using:
    • PySpark
    • Spark SQL
    • Delta Lake
  • Design and implement:
    • Lakehouse architecture (Bronze / Silver / Gold layers)
  • Optimize pipelines for:
    • Performance
    • Reliability
    • Cost efficiency
Data Modeling & Transformation
  • Develop enterprise-scale data models
  • Transform Workday data into:
    • Analytics-ready datasets
  • Ensure data quality and consistency
Data Governance & Security
  • Implement:
    • Data quality checks
    • Validation frameworks
    • Monitoring and alerting
  • Manage:
    • Access control
    • Data lineage
    • Compliance requirements
Business & Analytics Enablement
  • Collaborate with:
    • Finance, HR, and Analytics teams
  • Deliver:
    • Reporting datasets
    • Dashboards (Power BI / Tableau)
  • Support:
    • Business insights and decision-making
Collaboration & Agile Delivery
  • Work in Agile/Scrum environments
  • Partner with:
    • Workday consultants
    • Data engineers
    • Business stakeholders
Required Skills
Workday Expertise (MANDATORY)
  • Workday Financial Management (GL, AP, AR, etc.)
  • Workday Reporting (RaaS, WQL)
  • Workday integrations (REST/SOAP APIs)
Data Engineering
  • Databricks (Azure preferred)
  • PySpark, Spark SQL, Delta Lake
  • ETL/ELT pipeline development
Programming & Databases
  • Python
  • SQL (Advanced)
  • Data modeling
Cloud
  • Azure (preferred) / AWS / GCP
Additional Skills
  • Data governance & security
  • CI/CD pipelines
  • API integration
Experience Required
  • 5-10 years of experience
  • Minimum:
    • 3+ years in Workday
    • 3+ years in Databricks / data engineering
Good to Have
  • Power BI / Tableau
  • Unity Catalog (Databricks governance)
  • Experience with Finance & HR analytics
  • Knowledge of AI/ML data pipelines