PalantirData Engineer - Talent Acquisition Operations
Palantir is hiring a Data Engineer - Talent Acquisition Operations in New York, United States. Level rates it ; you can apply on Level.
AI in this role
Builds data foundations, reporting workflows, and automations supporting recruiting and hiring operations.
The Role
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.
How we rate this
Data Engineer - Talent Acquisition Operations at Palantir rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where pipelines was part of your work. What did you do?
- Tell me about a project where reporting was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Engineering, Pipelines, Reporting, and Automation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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