A World-Changing Company
Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more.
The Role
As a Data Engineer, you will help to build and maintain the data foundations, reporting workflows, and automations that support Recruiting and Hiring Operations. This role will work cross-functionally with Hiring Operations, Recruiters, Data, Security, Privacy, and other technical and non technical partners to turn complex recruiting processes into reliable datasets, dashboards, and operational tools. The ideal candidate enjoys working at the intersection of data engineering and business operations. You will be expected to understand how recruiting workflows generate data and build practical solutions that improve day to day operations.
This role is well suited for someone who can move fluidly between building a pipeline, debugging an integration, creating a dashboard, documenting an operating procedure, and helping stakeholders understand how to use the resulting tool.
Core Responsibilities
Build, maintain, and improve datasets and pipelines supporting RecruitingIntegrate data from systems such as Lever, Workday, Foundry, and other recruiting systemsDevelop reporting datasets and dashboards for recruiting performance, candidate pipelines, recruiting programs, and operational auditsEvaluate existing data integrations for opportunities to reduce latency and implement necessary changesPartner with central Data and platform teams on warehouse connections, schema changes, API behavior, and source-system migrationsSupport integrations between recruiting systems and internal tools including writeback of data updatesDesign data access and reporting solutions that respect confidentiality, role-based permissions, and regional or organizational access boundariesCreate clear documentation for sensitive workflows and ensure that operational users understand the limitations of the dataProactively identify opportunities to improve reporting and workflows as recruiting processes changePartner with team members, engineering, product and business leaders to understand current user behavior and patterns across our platformMonitor pipelines for stability, suggest and implement efficiency initiativesWhat We Value
Proven ability to build and maintain data pipelines, datasets, and analytics data productsHands-on experience with Foundry, Contour, or comparable data and analytics platformsBackground working with Recruiting, HR, People, CRM, ATS, or other operational data; Lever experience preferredProficiency integrating APIs, data warehouses, and SaaS systemsFamiliarity with workflow automation, writeback processes, and event-driven integrationsWorking knowledge of data governance, privacy, retention, access controls, and compliance-related workflowsWhat We Require
Degree in Data Science, Finance, Math, Engineering, Computer Science, Economics, Business or other quantitative fields1+ years of experience in a data analytical roleExpertise 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 dataFluency in TypeScript, or another general-purpose programming languageAbility to create reusable data models, testing frameworks, and data quality checks
