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Full Stack Engineer information
See Michigan salary details
$38.8K - $50.4K
1% of jobs
$50.4K - $61.9K
3% of jobs
$61.9K - $73.5K
4% of jobs
$73.5K - $85.1K
5% of jobs
$85.1K - $96.6K
11% of jobs
$97.2K is the 25th percentile. Wages below this are outliers.
$96.6K - $108.2K
15% of jobs
The median wage is $115.8K / yr.
$108.2K - $119.8K
17% of jobs
$119.8K - $131.3K
17% of jobs
$133.5K is the 75th percentile. Wages above this are outliers.
$131.3K - $142.9K
13% of jobs
$142.9K - $154.5K
9% of jobs
$154.5K - $166K
5% of jobs
$38.8K
$117.5K
$166K
How much do full stack engineer jobs pay per year?
What are the key skills and qualifications needed to thrive as a Full Stack Engineer, and why are they important?
How do Full Stack Engineers typically collaborate with UX/UI designers and backend specialists on a project?
What is a Full Stack Engineer?
What is the difference between Full Stack Engineer vs Front End Developer?
| Aspect | Full Stack Engineer | Front End Developer |
|---|---|---|
| Required Skills | Proficiency in both front-end and back-end technologies, including HTML, CSS, JavaScript, server-side languages, and databases. | Specializes in client-side technologies like HTML, CSS, JavaScript, and frameworks such as React or Angular. |
| Work Environment | Works on both server and client-side development, often handling entire project stacks. | Focuses primarily on creating and optimizing user interfaces and user experience. |
| Common Usage | Used in full project development, especially in startups and small teams requiring versatile developers. | Primarily employed in UI/UX design, front-end frameworks, and client-side optimization. |
While both roles require strong web development skills, a Full Stack Engineer handles both front-end and back-end tasks, providing a comprehensive approach to web development. A Front End Developer specializes in creating engaging and responsive user interfaces, focusing on the client side of applications.
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Job description
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
- 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
- Develop enterprise-scale data models
- Transform Workday data into:
- Analytics-ready datasets
- Ensure data quality and consistency
- Implement:
- Data quality checks
- Validation frameworks
- Monitoring and alerting
- Manage:
- Access control
- Data lineage
- Compliance requirements
- Collaborate with:
- Finance, HR, and Analytics teams
- Deliver:
- Reporting datasets
- Dashboards (Power BI / Tableau)
- Support:
- Business insights and decision-making
- Work in Agile/Scrum environments
- Partner with:
- Workday consultants
- Data engineers
- Business stakeholders
Workday Expertise (MANDATORY)
- Workday Financial Management (GL, AP, AR, etc.)
- Workday Reporting (RaaS, WQL)
- Workday integrations (REST/SOAP APIs)
- Databricks (Azure preferred)
- PySpark, Spark SQL, Delta Lake
- ETL/ELT pipeline development
- Python
- SQL (Advanced)
- Data modeling
- Azure (preferred) / AWS / GCP
- Data governance & security
- CI/CD pipelines
- API integration
- 5-10 years of experience
- Minimum:
- 3+ years in Workday
- 3+ years in Databricks / data engineering
- Power BI / Tableau
- Unity Catalog (Databricks governance)
- Experience with Finance & HR analytics
- Knowledge of AI/ML data pipelines