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Data Engineer - Talent Acquisition Operations

Palantir· Recruiting Operations
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New York, NY$100k - $145kFull-timePosted 1w ago

About the role

Data Engineer to build and maintain data foundations, reporting workflows, and automations to support Recruiting and Hiring Operations. Works cross-functionally to turn complex recruiting processes into reliable datasets, dashboards, and operational tools.

Responsibilities

  • 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 for opportunities 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 that operational users understand the limitations of the data
  • Proactively identify opportunities to improve reporting and workflows as recruiting processes change
  • Partner with team members, engineering, product and business leaders to understand current user behavior and patterns across our platform
  • Monitor pipelines for stability, suggest and implement efficiency initiatives

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 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, SQL, 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

Skills

Required:Data pipeline developmentData integrationSQLPythonTypeScript

Benefits

  • Medical, dental, and vision insurance for employees and eligible dependents
  • 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
  • 10 paid holidays
  • Supportive leave of absence program including military/medical leave
  • Paid parental leave and subsidized back-up care for parents
  • Fertility and family-building benefits
  • Child-related expenses stipend
  • Palantir 401k plan
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Palantir

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