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Palantir

Builds software for data-driven operations

Data Engineer - Talent Acquisition Operations

Data EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USAHybrid

About the Job

Requirements

  • A degree in Data Science, Finance, Mathematics, Engineering, Computer Science, Economics, Business, or another quantitative field is required.
  • At least 1 year of experience in a data analytical role is required.
  • Expertise in Python and data manipulation to answer complex questions is required.
  • Strong SQL skills and experience working with relational or structured data are required.
  • Proficiency with business intelligence tools, SQL, and the organization and analysis of data is required.
  • Fluency in TypeScript or another general-purpose programming language is required.
  • Ability to create reusable data models, testing frameworks, and data quality checks is required.

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 writing back 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 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 the platform.
  • Monitor pipelines for stability and suggest and implement efficiency initiatives.

Desired Qualifications

  • Experience with PySpark, pandas, or Polars is a plus.
  • Hands-on experience with Foundry, Contour, or comparable data and analytics platforms is desirable.
  • Background working with Recruiting, HR, People, CRM, ATS, or other operational data is desirable.
  • Lever experience is preferred.
  • Experience integrating APIs, data warehouses, and SaaS systems is desirable.
  • Familiarity with workflow automation, writeback processes, and event-driven integrations is desirable.
  • Working knowledge of data governance, privacy, retention, access controls, and compliance-related workflows is desirable.

About the Company

Palantir

Builds software for data-driven operations

Palantir builds software that connects an organization's data with decisions and everyday operations. Its Foundry platform gives businesses a shared view of data, while Gotham supports government and defense teams working with sensitive information. AIP adds language models to these workflows with controls over data access and the actions models perform. Customers pay for software subscriptions and implementation support under contracts that often cover multiple years, using cloud or on-premises deployments for tasks such as managing supply chains and planning missions. Founded in 2003 by Peter Thiel and other cofounders, Palantir is headquartered in Aventura, Florida.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Aventura, FL
Founded
2003

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