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Data Engineer - Talent Acquisition Operations

Palantir Technologies New York, NY

New York, NY

Today

$100k - $145k/yr Full time Analytics Application Support Business Analytics

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Job Description

Palantir Technologies is hiring a Data Engineer - Talent Acquisition Operations in New York, NY. In this onsite role, you will build and maintain the data foundations that help Recruiting and Hiring Operations turn recruiting activities into dependable datasets, dashboards, and operational tools.

Role summary

Work cross-functionally to convert recruiting workflows into reliable data products. You will design pipelines and reporting datasets, integrate recruiting systems, support writeback to internal tools, and monitor data pipeline stability while partnering with engineering and platform teams on warehouse and API needs.

What you’ll do

Build, maintain, and improve datasets and pipelines that support Recruiting
Integrate data from recruiting systems including Lever, Workday, Foundry, and other recruiting platforms
Create reporting datasets and dashboards for recruiting performance, candidate pipelines, recruiting programs, and operational audits
Assess existing data integrations to reduce latency and implement needed 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 follow confidentiality, role-based permissions, and regional or organizational access boundaries
Create clear documentation for sensitive workflows and ensure operational users understand data limitations
Identify improvements to reporting and workflows as recruiting processes evolve
Collaborate with engineering, product, and business leaders to understand user behavior and patterns across the platform
Monitor pipelines for stability and suggest or implement efficiency initiatives

Required qualifications

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

Technologies you’ll use

Python, pySpark, pandas, polars, SQL, TypeScript
Lever, Workday, Foundry, Contour
BI tools

Compensation

The salary range for this position is estimated to be $100,000 - $145,000/year. Total compensation may include Restricted Stock units, sign-on bonus, and other potential future incentives. This estimate excludes the value of any potential sign-on bonus, benefits offered, and potential future value of any long-term incentives.

Benefits

Medical, dental, and vision insurance for employees (and eligible dependents), plus voluntary life insurance
Automatic coverage 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 adoption, surrogacy, and preservation
Stipend to help with expenses that come with a new child
401k plan enrollment

Work location

New York, NY (onsite)
Employees are encouraged to work from offices to foster connectivity and innovation
Some teams may offer hybrid options, but for onsite postings, you are required to work from an office
If a role allows exceptional remote work, you must work from the state where you are employed

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