Data Engineer - Talent Acquisition Operations

Build recruiting data foundations and operational reporting workflows that help turn hiring processes into reliable datasets, dashboards, and automation.

Responsibilities

• Build, maintain, and continuously improve datasets and pipelines that support Recruiting
• Integrate data from recruiting systems including Lever, Workday, Foundry, and other recruiting sources
• Create reporting datasets and dashboards for recruiting performance, candidate pipeline views, recruiting programs, and operational audits
• Review existing data integrations to reduce latency and implement required changes
• Collaborate with central Data and platform teams on warehouse connections, schema updates, API behavior, and source-system migrations
• Support recruiting-system to internal-tool integrations, including writeback of data updates
• Design data access and reporting solutions that follow confidentiality, role-based permissions, and regional or organizational access boundaries
• Produce clear documentation for sensitive workflows and communicate data limitations to operational users
• Identify improvements to reporting and workflows as recruiting processes evolve
• Partner with engineering, product, and business leaders to understand platform user behavior and patterns
• Monitor pipeline stability and propose or implement efficiency initiatives

Requirements

• Degree in Data Science, Finance, Math, Engineering, Computer Science, Economics, Business, or another quantitative field
• 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 with relational or structured data
• Proficiency with BI tools, SQL, and organizing and analyzing data
• 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
• Automatic coverage for Palantir’s 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 (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 related to a new child
• 401k plan enrollment

What We Value

• 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

Compensation

• Estimated salary range: $100,000 - $145,000 per year
• Total compensation may include Restricted Stock units, sign-on bonus, and other potential future incentives
• Estimate excludes the value of any potential sign-on bonus, benefits, and potential future long-term incentives

Location and Work Style

• New York, NY (onsite)
• Employees are encouraged to work from offices to support connectivity and innovation
• Some teams may offer hybrid options (work from home a day or two per week)
• If posting specifies Onsite, you are required to work from an office
• If a role allows “Remote” work on an exceptional basis, you must work from the state in which you are employed