HR Data Engineer The People Analytics Center of Excellence 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 Requirements: 5+ years of experience in HR Data Engineer role leading HR data engineering transformation and implementing data pipelines and data solutions in the People Analytics/HR domain. Very good understanding of HR data and HR employee lifecycle processes (talent acquisition, talent development, workforce planning, engagement, employee listening, external benchmarking etc.). Very good understanding of HCM data architecture, models and data pipelines and experience designing and implementing data integrations and ETLs with Workday (RaaS, APIs). Experience designing and automating data and analytics solutions that can provide insights and recommendations at scale. Proficiency in SQL, R/Python and ETL tools. Deep expertise in modern data platforms (particularly Databricks) and end-to-end data architecture (DLT Streaming Pipelines, Workflows, Notebooks, DeltaLake, Unity Catalog). Experience with different authentication (Basic Auth, Oauth, etc.) and encryption methods and tools (GPG, Voltage, etc.). Very strong data analytics skills and ability to leverage multiple internal and external data sources to enable data-driven insights and inform strategic talent decisions. Knowledge of compliance and regulatory requirements associated with data management. Experience working in environments requiring strict confidentiality and handling of sensitive data. Great communication skills and ability to explain complex technical concepts to non-technical stakeholders. Degree with quantitative focus (e.g., Mathematics, Statistics) and/or degree in Human Resources is a plus. Relocation: This job is not eligible for relocation benefits. Compensation: The salary range for this role is $94,800 - $151,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.