As a Data Engineer, you will help to build and maintain the data foundations, reporting workflows, and automations that support Recruiting and Hiring Operations. This role will work cross-functionally with Hiring Operations, Recruiters, Data, Security, Privacy, and other technical and non technical 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. You will be expected to understand how recruiting workflows generate data and build practical solutions that improve day to day operations.
This role is well suited for someone who can move fluidly between building a pipeline, debugging an integration, creating a dashboard, documenting an operating procedure, and helping stakeholders understand how to use the resulting tool.
Core 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
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 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
Salary
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Skills Required
- Degree in Data Science, Finance, Math, Engineering, Computer Science, Economics, Business, or another quantitative field
- At least 1 year of experience in a data analytical role
- Expertise in Python and data manipulation for answering complex questions
- Strong SQL skills and experience 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
- Experience with PySpark, pandas, or polars
- Hands-on experience with Foundry, Contour, or comparable data and analytics platforms
- Experience with recruiting, HR, People, CRM, ATS, or other operational data
- Lever experience
- 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 workflows
Palantir Technologies Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is described as comprehensive for employees and dependents, with mental-health services also available. Multiple summaries consistently portray healthcare as a standout element of the package.
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Parental & Family Support — Paid parental leave is substantial for both birthing and non-birthing parents, alongside fertility and family-building benefits, backup childcare, and a new‑parent stipend. These programs are highlighted as a strong part of the total rewards.
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Leave & Time Off Breadth — Policies include flexible or unlimited PTO, paid holidays, and in some cases a year‑end office closure. This structure offers a mix of discretion and predictable downtime.
Palantir Technologies Insights
What We Do
At Palantir, we're helping the world's most important institutions use their data to solve their most urgent problems. Palantir software helps the world's most important institutions integrate, analyze, and act on their data — unlocking answers to questions they couldn't ask before. From delivering disaster relief to building safer automobiles, we're honored to help make our partners better at their most important work. Together with our customers, we're building the future of national security, healthcare, energy, finance, manufacturing, and more.
Why Work With Us
We build the software that powers the world's most important institutions — the hospitals, militaries, intelligence agencies, and industrial operators that can't afford to fail. The consequence of our work is what makes us different.
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