# Data Engineer - Talent Acquisition Operations

**Company**: Palantir
**Location**: New York, NY
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: Full-time
**Salary**: $100,000 - $145,000/year
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.lever.co/palantir/1b690123-1766-4e75-a0ef-0f58afa864b4?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7534a4b7-f75

## Description

As a Data Engineer, you will help build and maintain data foundations, reporting workflows, and automations supporting Recruiting and Hiring Operations.

This role involves working cross-functionally with various 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, understanding how recruiting workflows generate data, and building practical solutions to improve day-to-day operations.

**Core Responsibilities:**

- Build, maintain, and improve datasets and pipelines supporting Recruiting

- Integrate data from systems like Lever, Workday, Foundry, and other recruiting systems

- Develop reporting datasets and dashboards for recruiting performance, candidate pipelines, 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 respecting confidentiality, role-based permissions, and regional or organizational access boundaries

- Create clear documentation for sensitive workflows and ensure operational users understand data limitations

- 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

- Monitor pipelines for stability, suggest and implement efficiency initiatives

**What We Value:**

- 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

**What We Require:**

- 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; 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 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

**Salary:** The salary range for this position is estimated to be $100,000 - $145,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus, and other potential future incentives.

**Benefits:**

- Medical, dental, and vision insurance for employees and eligible dependents

- Voluntary life insurance

- Basic life, AD&D, and disability insurance

- Commuter benefits

- Take what you need paid time off

- 2 weeks paid time off built into the end of each year

- 10 paid holidays throughout the calendar year

- Supportive leave of absence program

- Paid leave for new parents and subsidized back-up care for all parents

- Fertility and family building benefits

- Stipend to help with expenses for new child

- 401k plan

## Skills

### Required
- Python
- SQL
- data manipulation
- data engineering
- Foundry
- Contour
- API integration
- data governance

### Nice to have
- pySpark
- pandas
- polars
- Lever experience

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Source: [Apply at jobs.lever.co](https://jobs.lever.co/palantir/1b690123-1766-4e75-a0ef-0f58afa864b4?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)