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Salary: USD 100,000 - 145,000 / annual
Palantir is seeking a Data Engineer to build and maintain the data foundations, reporting workflows, and automations supporting Recruiting and Hiring Operations. You will work cross-functionally with Hiring Operations, Recruiters, Data, Security, Privacy, and other technical and non-technical partners to transform complex recruiting processes into reliable datasets, dashboards, and operational tools.
In this role, you will move fluidly between building data pipelines, debugging integrations, creating dashboards, documenting procedures, and helping stakeholders understand how to use resulting tools. You'll integrate data from systems such as Lever, Workday, Foundry, and other recruiting platforms. You will develop reporting datasets and dashboards for recruiting performance, candidate pipelines, recruiting programs, and operational audits. You'll evaluate existing data integrations for opportunities to reduce latency and implement necessary changes, partner with central Data and platform teams on warehouse connections and schema changes, and support integrations between recruiting systems and internal tools including writeback of data updates.
Additionally, you will design data access and reporting solutions that respect confidentiality, role-based permissions, and regional or organizational access boundaries. You'll create clear documentation for sensitive workflows and ensure operational users understand data limitations. You'll proactively identify opportunities to improve reporting and workflows as recruiting processes change, partner with team members, engineering, product and business leaders to understand user behavior and patterns, and monitor pipelines for stability while suggesting and implementing efficiency initiatives.
Palantir builds software for data-driven decisions and operations, empowering partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more.
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 (pySpark, pandas, or polars experience a plus)
- Strong SQL skills and experience working with relational or structured data
- Proficiency with BI tools, SQL, 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
- 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
