HR Data Engineer
HR Data Engineer
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Job Description
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 youll 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. Youll 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)
Whats 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 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 pipelinesand 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 $94800 - $151400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
- Bonus Potential: An incentive pay program offers payouts based on company performance job level and individual performance.
- Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical dental vision Health Savings Account Flexible Spending Accounts retirement savings plan sickness and accident benefits life insurance paid vacation & holidays tuition assistance programs employee assistance program GM vehicle discounts and more.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g. H-1B TN STEM OPT etc.) NOW OR IN THE FUTURE.
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Employment Type
Full-Time
