Data Engineer - Talent Acquisition Operations

The role

You will build and maintain the data pipelines, reporting datasets, dashboards and automations that support Recruiting and Hiring Operations. You will work with Hiring Operations, Recruiters, Data, Security and Privacy teams to turn recruiting processes into reliable data and tools.

What you will do

• Build, maintain, and improve datasets and pipelines supporting Recruiting
• Integrate data from systems such as Lever, Workday, Foundry, and other recruiting systems
• Develop reporting datasets and dashboards for recruiting performance, candidate pipelines, recruiting programs, and operational audits
• Evaluate existing data integrations to reduce latency and implement needed changes
• Partner with central Data and platform teams on warehouse connections, schema changes, API behavior, and source-system migrations
• Support integrations between recruiting systems and internal tools, including writeback of data updates
• Design data access and reporting solutions that respect confidentiality, role-based permissions, and regional or organizational access boundaries
• Create clear documentation for sensitive workflows and ensure operational users understand data limitations
• Identify opportunities to improve reporting and workflows as recruiting processes change
• Monitor pipelines for stability and implement efficiency initiatives

Required qualifications

• Degree in Data Science, Finance, Math, Engineering, Computer Science, Economics, Business or other quantitative fields
• 1+ years of experience in a data analytical role
• Expertise in Python and data manipulation
• Strong SQL skills and experience working with relational or structured data
• Proficiency with BI tools and the organization and analysis of data
• Fluency in TypeScript, or another general-purpose programming language
• Ability to create reusable data models, testing frameworks, and data quality checks
• Proven ability to build and maintain data pipelines, datasets, and analytics data products
• Hands-on experience with Foundry, Contour, or comparable data and analytics platforms
• Proficiency integrating APIs, data warehouses, and SaaS systems
• Familiarity with workflow automation, writeback processes, and event-driven integrations
• Working knowledge of data governance, privacy, retention, access controls, and compliance-related workflows

Nice to have

• Experience with pySpark, pandas, or polars
• Background working with Recruiting, HR, People, CRM, ATS, or other operational data
• Lever experience

Benefits

• Medical, dental, and vision insurance, plus voluntary life insurance
• Automatic basic life, AD&D and disability insurance
• Commuter benefits
• Take-what-you-need paid time off, not accrual based
• 2 weeks paid time off built into the end of each year, subject to team and business needs
• 10 paid holidays per calendar year
• Leave of absence program, including military service and medical events
• Paid leave for new parents and subsidized back-up care for all parents
• Fertility and family building benefits, including adoption, surrogacy, and preservation
• Stipend for expenses that come with a new child
• 401k plan

Before you apply

• Palantir will never ask you to submit payment or financial information to take part in the interview process

About the company

Palantir builds software for data-driven decisions and operations, used by partners to develop drugs, forecast supply chain disruptions, and locate missing children. It is an Equal Opportunity Employer.