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Job Description

Build the data backbone behind recruiting operations at Palantir. This onsite role in New York, NY focuses on creating dependable datasets, reporting workflows, and automations that help Recruiting and Hiring teams run smoothly. You will work cross-functionally to translate recruiting processes into operational tools, dashboards, and analytics-ready data.

Compensation: USD 100,000 - 145,000 per year. Total compensation may also include Restricted Stock units, sign-on bonus, and other potential future incentives.

Responsibilities

  • Build, maintain, and improve datasets and pipelines supporting Recruiting
  • Integrate data from recruiting systems including Lever, Workday, Foundry, and other sources
  • Develop reporting datasets and dashboards for recruiting performance, candidate pipelines, recruiting programs, and operational audits
  • Evaluate existing integrations to reduce latency and implement necessary 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
  • Proactively identify improvements to reporting and workflows as recruiting processes evolve
  • Partner with engineering, product, and business leaders to understand user behavior and patterns across the platform
  • Monitor pipelines for stability and suggest or implement efficiency initiatives

Requirements

  • 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 to answer complex questions; experience with pySpark, pandas, or polars is a plus
  • Strong SQL skills and experience working with relational or structured data
  • Proficiency with BI tools and data organization and analysis
  • Fluency in TypeScript, or another general-purpose programming language
  • Ability to create reusable data models, testing frameworks, and data quality checks

Technologies

  • Python, pySpark, pandas, polars
  • SQL, TypeScript
  • Lever, Workday, Foundry, Contour
  • BI tools

Benefits

  • Medical, dental, and vision insurance for employees (and eligible dependents), plus voluntary life insurance
  • Basic life, AD&D, and disability insurance automatically provided
  • 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 throughout the calendar year
  • Supportive leave of absence program, including time off for 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 to help with expenses that come with a new child
  • 401k plan enrollment option

What We Value

  • 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
  • Background working with Recruiting, HR, People, CRM, ATS, or other operational data; Lever experience preferred
  • 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

Life at Palantir

  • Employees are encouraged to work from the offices to foster connectivity and innovation
  • Many teams offer hybrid options (WFH a day or two a week)
  • If a role allows for “Remote” work on an exceptional basis, you must work from the state in which you are employed
  • For this role, the posting is Onsite, so you are required to work from an office

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