HR Data Engineer – People Analytics

Company Description

LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

Job Description

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

This role can be based in our Sunnyvale, Mountain View, San Francisco or New York offices.

We are looking for an HR Data Engineer to manage and maintain our semantic layer and data pipelines, while ensuring data quality, integrity, and accuracy. You will work cross-functionally with engineering, data governance, and stakeholder teams to advance our data and reporting solutions. You will leverage our data to identify key insights and create operational efficiencies, as well as produce accurate and meaningful analysis to drive business decisions. Your work will directly influence workforce planning, talent strategy, and executive decision-making. 

To be successful in this role you need to be highly analytical, with a strong intellectual curiosity and be comfortable responding to and structuring ambiguous requests. You must be able to prioritize multiple tasks in a fast-paced environment. Your stakeholders will not always know what is possible, so it is important that you ask effective questions to get clarity in addition to managing expectations on what you can deliver. Exceptional attention to detail, strong analytical and development skills, proactive communication skills, and an ability to meet tight deadlines will be critical for success in this role. 

Responsibilities:  

• Contribute to the design of the ETL process, driving clean and actionable requirements, and translate business logic into reusable and governed data assets while working with our Talent Engineering teams. 
• Support, maintain, and enhance our existing HR Data Warehouse, ensuring it scales with evolving business needs and systems changes 
• Build an architecture and monitoring mechanism in partnership with data governance across the data reporting landscape to have always-on sensing and response methodologies established, and  
• Proven track record of developing enterprise-level data programs heavily focused on self-service and multi-persona management. 
• Maintain comprehensive technical documentation and data dictionaries for warehouse structures, transformations, and integrations. 
• Use SQL to extract, clean, and organize data from multiple HR systems, ensuring structured, accurate, and governed reporting, dashboards, and analytics products. 
• Conduct complex data analysis, develop actionable insights, communicate findings to stakeholders, and utilize data visualization tools to support function strategy and decision-making. 
• Influence and collaborate on the global strategy for People Reporting at the enterprise level and establish scalable solutions to support end users.  
• Bring critical thinking & problem-solving skills to a range of challenging problems.  
• Stay relevant in technology trends that might be used to resolve complex business problems. 
• Advocate for and implement best practices in data engineering, testing, and documentation. 

Qualifications

Basic Qualifications:  

• BA/BS degree or equivalent degree in Computer Science, Information Technology, Information Systems, or a related field 
• 4+ years of experience as an Analytics Engineer, Data Engineer or Analyst / Consultant with an engineering background 
• 4+ years of database design and semantic layer development 
• 4+ years of experience and advanced proficiency in SQL, including data modeling, transformation, and query optimization 
• 3+ years of experience with data visualization tools (e.g., Power BI, Tableau, etc.) 
• 2+ years of experience with Python or scripting languages 

Preferred Qualifications:  

• 4+ years of work experience managing stakeholders and engineering teams. 
• High proficiency in T-SQL  
• Experience and understanding of ETL/ELT frameworks, data validation, and reconciliation techniques. 
• Experience building and supporting data warehouses specifically for HR and