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HR Data Engineer

Lensa

Boston (MA)

Remote

USD 94,000 - 152,000

Full time

2 days ago
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Job summary

A leading company in human resources analytics is seeking an HR Data Engineer to enhance data infrastructure and optimize pipelines for HR data. You will collaborate with HR and technical teams to support data-driven decision-making while ensuring compliance and data security. This role requires extensive experience in HR data engineering, strong SQL skills, and familiarity with platforms like Databricks and Workday.

Benefits

Health and wellbeing benefits
Retirement savings plan
Tuition assistance programs

Qualifications

  • 5+ years in HR Data Engineer role with data pipeline expertise.
  • Proficiency in modern data architecture and compliance knowledge.
  • Strong communication skills to liaise with non-technical stakeholders.

Responsibilities

  • Design and maintain ETL processes for HR data.
  • Drive implementation of robust data models and pipelines.
  • Ensure data integrity and quality across multiple data sources.

Skills

HR Data Engineering
SQL
R/Python
Data Analytics
Data Quality

Education

Degree with quantitative focus (Mathematics, Statistics)

Tools

Databricks
Workday
ETL tools

Job description

1 week ago Be among the first 25 applicants

Lensa is the leading career site for job seekers at every stage of their career. Our client, General Motors, is seeking professionals in Boston, MA. Apply via Lensa today!

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 maintainingappropriate 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 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.
  • 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.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources (https://search-careers.gm.com/en/working-at-gm/total-rewards) .

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (https://search-careers.gm.com/en/how-we-hire) .

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

About

We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:

Our Company (https://search-careers.gm.com/en/working-at-gm/)

Our Culture

How we hire (https://search-careers.gm.com/en/how-we-hire/)

Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.

Explore our global location s

The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Seniority level
  • Seniority level
    Not Applicable
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    IT Services and IT Consulting

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