HR Data Engineer

Job Description

Work Arrangement:

This role is based remotely, but if you live within a 50-mile radius of Atlanta (GA), Austin (TX), Detroit (MI), Warren (MI), or Mountain View (CA) you are expected to report to that location three times a week, at minimum.

The Role:

The People Analytics CoE is seeking an HR Data Engineer to support data engineering, data automation, and data analytics solutions development, enhancements and management. In this role, you’ll be responsible for enhancing our existing HR data foundation (Databricks) by designing, building, and maintaining scalable data pipelines and integrations that enable accurate, secure, and timely access to HR data across the organization. You will build data models and optimize our databases to improve decision making, and evaluate the integrity, quality, and reliability of data outputs and outcomes. You’ll work closely with the broader PA team, IT and HR COEs to empower data-driven decisions around workforce strategy, talent acquisition, performance management, and employee engagement. This role reports to a People Analytics Solutions Lead and requires strong HR data engineering technical expertise working with large HR datasets and demonstrated knowledge of different areas of HR (data, analytics, and processes) 

What's in it for you? You will have a chance to influence our talent strategy, design the PA data infrastructure stack, develop insights that matter, and be part of a great team that puts innovation and curiosity at the center of everything we do.   

Responsibilities:   

• Design, develop, and maintain ETL/ELT processes for HR data from multiple systems including Workday to empower data-driven decision-making 

• Drive implementation of robust HR data models and pipelines optimized for reporting and analytics, ensuring data quality, reliability, and security for on-prem and Azure cloud solutions.  

• Develop pipelines and testing automation to ensure HR data quality and integrity across multiple data sources  

• Collaborate with People Analytics and HR business partners to understand data requirements and deliver reliable solutions. Collaborate with technical teams to build the best-in-class data environment and technology stack for People Analytics teams. 

• Ensure data integrity, quality, consistency, security, and compliance (e.g., GDPR, CCPA, HIPAA where applicable). 

• Design and implement secure processes for handling sensitive information in our data tech stack while maintaining appropriate access controls and confidentiality   

• Automate manual HR reporting and improve data accessibility through scalable data pipelines across the entire HR employee lifecycle 

• Troubleshoot and resolve data-related issues quickly and efficiently. 

• Contribute to HR tech stack evaluations and migrations, especially around data capabilities and API integrations. 

• Incorporate external data sources into internal datasets for comprehensive analysis   

• Manage and optimize platform architecture including Databricks environment configuration and performance optimization   

• Stay up to date with emerging trends and advancements in data engineering – both technically and in the HR and People Analytics/sciences domain  

Additional Job Description

Requirements: 

• 5+ years of experience in HR Data