Data Full stack Engineer - Workday ERP & Databricks

Data Full Stack Engineer – Workday ERP & Databricks

Location: Troy, MI

Duration: 6+ Months

Employment Type: W2 only Salary range: $50 - $53.03

Job Summary

We are looking for a seasoned Data Full Stack Engineer who combines deep functional knowledge of Workday ERP (Finance and HCM) with strong hands-on expertise in the Databricks data platform. In this role, you will own the end-to-end data lifecycle from extracting and integrating Workday data through scalable pipelines, to building analytical assets that power business decisions across Finance and HR. This role bridges ERP domain knowledge and modern data engineering, ensuring Workday data flows reliably into the Lakehouse architecture and is transformed into trusted, governed datasets ready for analytics and AI.

Must-Have Experience

• Strong hands-on experience with Workday Financial Management modules: General Ledger (GL), Accounts Payable (AP), Accounts Receivable (AR), Customer Invoicing, Supplier & Customer Master Data
• Proven experience with Workday Reporting: RaaS (Reports-as-a-Service), Custom reports, Calculated fields, WQL (Workday Query Language)
• Solid Workday integration experience using: REST APIs, SOAP APIs, Security/authentication handling, Incremental data extracts
• 3+ years of Databricks experience: PySpark, Spark SQL, Delta Lake
• Strong SQL and Python skills
• Experience with enterprise-scale data modeling
• Experience with cloud platforms, preferably Azure

Key Responsibilities

Workday Integration & Data Extraction

• Design and build integrations to extract data from: Workday Financial Management, Workday HCM modules
• Develop and maintain custom reports using: RaaS, WQL, SOAP/REST APIs
• Configure and manage: Integration System Users (ISUs), Security groups, OAuth 2.0 API clients
• Implement incremental sync patterns, monitoring, and error handling

Databricks Data Platform

• Build and optimize scalable ETL/ELT pipelines using: PySpark, Spark SQL, Delta Lake
• Design and implement Bronze / Silver / Gold Lakehouse architecture
• Develop data models for analytics, reporting, and machine learning
• Leverage Databricks Unity Catalog for: Governance, Lineage, Compliance
• Optimize workloads for: Performance, Cost efficiency, Reliability

Analytics & Business Enablement

• Build curated datasets and Gold-layer views for: Finance analytics, HR analytics
• Collaborate with analysts and data scientists
• Develop dashboards/reporting integrations using: Power BI, Tableau
• Maintain documentation: Data pipelines, Data dictionaries, Integration specifications

Required Skills

• Deep understanding of Workday Finance data structures and reporting concepts
• Expertise in: Workday Reporting, RaaS, WQL, Workday integrations
• Strong Databricks expertise: PySpark, Spark SQL, Delta Lake
• Advanced SQL and Python skills
• Data governance, security, and access management understanding
• Experience in ETL/ELT best practices in cloud environments

Company Benefits & Culture

• Inclusive and diverse work environment
• Opportunities for professional growth and development
• Comprehensive health and wellness benefits

Email your resume to: View email address on click.appcast.io