Data Engineer - Talent Acquisition Operations

Palantir Technologies builds software for data-driven decisions and operations. The Data Engineer will build and maintain data foundations, reporting workflows, pipelines, integrations, dashboards, and operational tools supporting Recruiting and Hiring Operations. The role partners with technical and business stakeholders to improve recruiting data reliability, governance, reporting, and workflows.

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

Preferred

• Lever experience preferred
• Experience with pySpark, pandas, or polars is a plus
• Lever
• PySpark
• Pandas
• Polars

Benefits

• Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance
• Employees are automatically covered by 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 but not limited to adoption, surrogacy, and preservation
• Stipend to help with expenses that come with a new child
• Employees can enroll in Palantir’s 401k plan
• Hybrid work options (WFH a day or two a week)

Company

• AI decision and data integration software for government and enterprises
• Miami, Florida, USA
• http://www.palantir.com/
• Founded in 2003
• 1001-5000 employees

Qualifications

• 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
• 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
• 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
• 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
• Lever experience preferred
• Experience with pySpark, pandas, or polars is a plus

Required skills

• Python, SQL, TypeScript, Data Pipelines, Data Manipulation, Relational Data, Business Intelligence, Data Modeling, Data Testing Frameworks, Data Quality Checks, API Integration, Data Warehousing

Preferred skills

• Lever experience preferred, Experience with pySpark, pandas, or polars is a plus

Experience

• 1+ years