HR Data Engineer – People Analytics

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 People Analytics domains. 
• Experience with cloud platforms (e.g. AWS Azure GCP) and data warehousing solutions (Databricks).   
• Experience in enterprise integration primarily focused on HR systems and People Analytics tools (Visier Workday SmartRecruiters etc.) Visier preferred. 
• Experience working with a BI or visualization tool (e.g. Tableau Power BI etc.) 
• Familiarity with tools including ALM Toolkit Tabular Editor SQL Server Management Studio (SSMS) etc. 

Suggested Skills:

• Design and Systems Thinking 
• Easily Adaptable 
• Autonomy Creativity and Discretion 

LinkedIn is committed to fair and equitable compensation practices.    

The pay range for this role is $116000 to $193000. Actual compensation packages are based on several factors that are unique to each candidate including but not limited to skill set depth of experience certifications and specific work location. This may be different in other locations due to differences in the cost of labor.    

Additional Information :

Equal Opportunity Statement 

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race color religion creed gender national origin age disability veteran status marital status pregnancy sex gender expression or identity sexual orientation citizenship or any other legally protected class.

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Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

• Documents in alternate formats or read aloud to you
• Having interviews in an accessible location
• Being accompanied by a service dog
• Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However non-disability related requests such as following up on an application will not receive a response.

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No

Employment Type :

Full-time