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 ...
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Junior Full Stack Engineer information
See Michigan salary details
$40.5K - $48.1K
2% of jobs
$48.1K - $55.7K
3% of jobs
$55.7K - $63.2K
16% of jobs
$63.9K is the 25th percentile. Wages below this are outliers.
$63.2K - $70.8K
44% of jobs
$70.8K - $78.4K
10% of jobs
$78.9K is the 75th percentile. Wages above this are outliers.
$78.4K - $85.9K
7% of jobs
$85.9K - $93.5K
6% of jobs
$93.5K - $101.1K
5% of jobs
$101.1K - $108.6K
5% of jobs
$108.6K - $116.2K
1% of jobs
$116.2K - $123.8K
0% of jobs
$40.5K
$82.4K
$123.8K
How much do junior full stack engineer jobs pay per year?
What is a Junior Full Stack Engineer?
How does a Junior Full Stack Engineer typically collaborate with other team members on a project?
What is the difference between Junior Full Stack Engineer vs Junior Front End Developer?
| Aspect | Junior Full Stack Engineer | Junior Front End Developer |
|---|---|---|
| Required Skills | Proficiency 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 Environment | Works on both client-side and server-side development, often in full project cycles | Focuses primarily on user interface and user experience development |
| Common Usage | Used in startups and small to medium companies requiring versatile developers | Common 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?

Full-time
Posted 12 days ago
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
About Purple Drive Technologies
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Irvine, CA, US
Year founded
2016