Palantir SWE Interview: OA and Technical Screen Guide

Estimated read time: 7-9 minutes

Summary: Palantir's OA or technical screen is the early technical gate before the more distinctive onsite rounds. Sources report HackerRank, Karat, or live coding depending on role and path. This guide explains how to prepare for the coding fundamentals without losing sight of the Palantir-specific rounds that may come next.

TL;DR + FAQ (read this first)

At-a-glance takeaways

• OA and technical screens are reported around 45-60 minutes.
• Formats can include HackerRank, Karat, or live coding with a Palantir engineer.
• Intern and new-grad evidence is stronger than staff-level evidence.
• Expect coding fundamentals, communication, and sometimes project or Palantir-interest discussion.
• This is a gate, but it is not the whole Palantir process. Decomposition and learning/re-engineering often matter later.

Quick FAQ

Is the OA always HackerRank?
No. Sources report HackerRank, Karat, and live coding variants.

How many questions should I expect?
Some reports mention two coding problems, but the exact count varies.

Is this round Palantir-specific?
Less than decomposition or learning rounds. It is mostly a coding and fundamentals gate.

Should I still prepare for later rounds?
Yes. Passing this stage can lead to Palantir's more unusual onsite exercises.

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1) What the OA or technical screen establishes

This stage filters for coding fundamentals before the onsite or superday rounds. The source research mentions OA, Karat, HackerRank, and live coding, with stronger public evidence for intern and new-grad paths than for staff+ loops.

Do not treat the screen as the entire process. Palantir's later rounds often ask you to decompose ambiguous problems or learn unfamiliar code quickly, which are different skills from solving a single DSA task.

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2) OA and technical screen questions you may face

These tasks reflect the source-backed early technical themes and are written in interview style.

• Solve two coding problems in one timed session. For each, explain the approach, complexity, and edge cases before submitting.
• You are given a sorted array and repeated search queries. Optimize lookup time and explain when preprocessing is worth the memory cost.
• Given a tree or graph, return a value that requires traversal and state tracking. Explain how you avoid revisiting nodes or missing edge cases.
• Implement a function, then handle a new constraint that changes the input size or invalidates the brute-force approach.
• Debug a failing implementation under time pressure. Identify the failing input, fix the bug, and explain why the fix works.
• After solving the coding task, discuss a technical project and how you made one key design decision.

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3) Format and process details

Expect 45-60 minutes when this stage is scheduled. The exact platform can vary by path, with sources reporting HackerRank, Karat, and live coding.

If the screen is live, keep the interviewer oriented. If it is timed, manage your own pacing: read carefully, implement the simplest correct version, then optimize only when needed.

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4) Level-specific expectations

Intern and new-grad candidates should treat this as a likely gate and drill coding fundamentals under time pressure.

Junior and mid-level candidates should show clear implementation, complexity reasoning, and adaptability to follow-up constraints.

Senior candidates may still face technical screening, but public staff+ evidence is weaker. Confirm the exact path with your recruiter.

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5) What strong performance looks like

Strong performance is not only a passing solution. It is a readable implementation, correct edge-case handling, clear complexity analysis, and calm recovery when a constraint changes.

In a live screen, collaboration matters. Talk through tradeoffs, ask clarifying questions, and use the interviewer as a partner without waiting for them to drive every step.

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6) Common failure modes

Ignoring format variance. HackerRank, Karat, and live coding feel different. Prepare for all three if your recruiter has not confirmed the tool.

Optimizing too early. Get a correct baseline, then improve it with evidence.

Not explaining complexity. The screen is a signal of reasoning, not just syntax.

Forgetting Palantir's later rounds. Passing coding is necessary, but decomposition and learning may still decide the loop.

Conflating tracks. Ask whether your path is SWE, internship, new-grad, or another track.

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7) How to prepare

• Practice timed coding in arrays, strings, hash maps, trees, graphs, and search.
• Rehearse moving from brute force to optimized solutions out loud.
• Practice one session in a live-interview style and one in a silent timed style.
• Prepare a short project explanation in case the screen includes background discussion.
• Ask your recruiter whether the platform is HackerRank, Karat, live coding, or another setup.

Prepare to pass the gate, then keep enough energy for the Palantir-specific rounds that follow.

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