Palantir's Interview Process (2025)

Blog / Palantir's Interview Process (2025)

Palantir's software engineer interview process is widely considered one of the more rigorous in the industry, and it looks quite different from a typical big tech loop. Most candidates report a multi-stage process that generally unfolds over two to four weeks, though the exact stages and timeline can vary by team and role.

Recruiter Screen: Usually a 30 to 45 minute conversation covering your background, past projects, and motivation for joining Palantir. Expect questions around mission alignment and how you handle high-stakes software work.
Online Assessment: Typically hosted on HackerRank, this assessment usually runs 90 to 120 minutes and includes a mix of coding, SQL, and a REST API task. Problems are often framed around real-world scenarios rather than abstract puzzles.
Technical Screen: A live coding session with a Palantir engineer, usually around 45 to 60 minutes. Most candidates report one medium to hard DSA problem, with a strong emphasis on how you communicate and respond to evolving constraints.
Virtual Onsite: Often called the Superday, this typically consists of three to four rounds covering coding, a Decomposition round, and a Learning Lab round. Each round is usually 45 to 60 minutes.
Hiring Manager Round: A final 30 to 60 minute conversation focused on cultural fit, mission alignment, and a deeper look at your technical experience. Palantir hiring managers often revisit the weaker areas from earlier rounds, so do not treat this as a formality.

Palantir tests across a fairly specific set of technical areas. Here is what to focus your preparation on:

Data Structures & Algorithms (DSA) - Coding problems focused on graphs, heaps, hashmaps, and trees, tested in both the online assessment and technical screen.
Problem Decomposition - A unique Palantir round where you break down vague, real-world problems into technical components using a whiteboard tool.
SQL - SQL questions appear in the online assessment, often involving complex joins, window functions, and schema-level reasoning.
API Design - The online assessment typically includes a task involving a REST API, such as fetching and processing paginated data.
Behavioral - Ownership, failure, and ethics questions that run through multiple rounds, with mission alignment being a non-negotiable factor.

1. Data Structures & Algorithms (DSA)DSA comes up in both the online assessment and the technical screen. Most candidates report one medium to hard problem in the live screen, with graphs, heaps, and sliding window patterns showing up frequently. Past examples include tracking the top K most frequent events in a sliding window and detecting cycles in a dependency graph.Palantir problems are often framed as real scenarios rather than abstract puzzles. For example, you might see a resource allocation problem dressed up as a disaster response scenario. This framing matters because it rewards candidates who ask clarifying questions before writing a single line of code.Strong preparation should cover graphs and BFS/DFS and sliding window patterns, as these align closely with the types of problems reported. Focus on writing clean, modular code with descriptive variable names rather than optimizing purely for speed.

2. Problem DecompositionThe Decomposition round is one of the most distinctive parts of the Palantir onsite. You are given a vague, real-world problem and asked to break it down into technical components using a whiteboard tool like Excalidraw. No code is usually written at all.Past examples include designing a taxi dispatch system for London, optimizing patient room assignments based on doctor availability and urgency, and designing a disaster resource allocation system. The interviewer is looking at how you model entities and relationships, how you handle edge cases like a warehouse going offline, and how you reason through trade-offs between latency and consistency.The best way to prepare is to practice thinking out loud about system structure before touching any implementation details. Our System Design practice tools are a solid starting point for building this kind of structured thinking.

3. SQLSQL appears in the online assessment and tends to go beyond simple SELECT queries. Candidates report questions involving complex joins, window functions, and schema-level tasks like tracking product release changes or analyzing user session data.A good way to practice is to focus on scenarios where you need to reason about data across multiple related tables, not just retrieve it. Questions like finding missing product IDs or building a client session duration report are representative of the difficulty level. Make sure you are comfortable with aggregation, filtering, and partitioning before the assessment.

4. API DesignThe online assessment typically includes a task where you interact with a provided REST API, usually involving paginating through responses and processing the returned data. This is less about API design theory and more about practical implementation under a time constraint.Read the API documentation carefully before writing any code, and handle edge cases like empty responses or rate limits. Candidates who treat this like a real engineering ticket, reading requirements thoroughly and writing clean handling logic, tend to perform better than those who rush straight to the implementation.

5. BehavioralBehavioral questions appear across multiple rounds at Palantir, not just a dedicated behavioral interview. The most important theme is ownership. They want to hear that you did not just complete a task but that you took responsibility for the outcome, including when things went wrong.Mission alignment is treated as a hard requirement, not a soft preference. If you cannot speak genuinely about why you want to work on government or defense-related software, that will likely be a disqualifying signal regardless of your technical performance. Come prepared with a specific, honest answer to questions like why Palantir and why now.Use the STAR method for structuring your answers, but do not let it make your responses feel formulaic. The Behavioral Playbook can help you prepare structured answers that still sound like a real person talking.

ConclusionPalantir rewards engineers who ask good questions, think out loud, and genuinely care about the mission behind the software. Strong DSA fundamentals matter, but so does your ability to handle ambiguity and own outcomes end to end. For a structured plan that covers every stage of the process, follow the Palantir Interview Roadmap and work through each area systematically.

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