Meta Data Manipulation (SQL/Python) Interview Questions
Practice 1,159 real Meta interview questions for 2026. Covers top categories — Coding & Algorithms, Analytics & Experimentation, Data Manipulation (SQL/Python), Behavioral & Leadership, and System Design — across Software Engineer, Data Scientist, Machine Learning Engineer, Data Engineer, and Product Manager roles. Real questions from actual interviews with detailed solutions. Expect a software-engineering-heavy loop: timed algorithmic coding (trees, arrays, graph/maze problems, delimiter/CSV parsing), system-design prompts like leaderboards, flight search and online-judge architectures, and an increasingly common AI-assisted coding round that mirrors real workflows. Data Scientist rounds emphasize product analytics and experimentation—designing tests, diagnosing spend drops and bots, evaluating unconnected content, and writing SQL for multi-account, seller, and vehicle metrics. Machine Learning Engineer questions skew toward recommender and ranking work (place and friend recommendation, sparse-matrix ops, linear-regression derivations, newsfeed dislike models). Data Engineers focus on data modeling, ETL, capacity calculations, reservations/utilization queries, and production SQL/Python tasks. For interview preparation, prioritize timed coding practice, system-design templates, rigorous SQL drills (joins/CTEs/aggregation), clear A/B-testing frameworks, and concise STAR behavioral stories tied to measurable impact.
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Design a Location Recommendation System
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Compute ad revenue metrics by geography in SQL
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Design bot detection and evaluate trade-offs
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Design an A/B test for pinned-unread feature
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Decide under adverse signals and conflicts
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Design analytics and experiment for group video calls
Evaluate and Launch Group Video Calls — Product Analytics Plan Context: You are evaluating a new Group Video Call feature in a large-scale consumer me...
Write SQL for car rental utilization by city
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Troubleshoot a single-node web outage
This question evaluates operational troubleshooting, root-cause analysis, and resilience design skills for a single-node web server, testing a candida...
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Design an ads ranking system with calibration
This question evaluates a candidate's ability to design scalable, low-latency online machine learning systems for ads ranking, covering competencies i...
Which clustering algorithm would you use and why
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Analyze DoorDash marketplace product decisions
You are a product-focused data scientist at DoorDash. Discuss how you would approach the following three product analytics and experimentation problem...
Implement list cloning and k-frequency finder
You are given two separate coding tasks. --- Problem 1: Deep copy a linked list with extra pointers You are given the head of a singly linked list. Ea...
How would you evaluate Pixel issue alerts?
Meta is considering a new advertiser-facing ad management feature. When the system detects that an advertiser's Ads Pixel may be misconfigured or send...
Design a Trade Ledger Class
This question evaluates the ability to design class interfaces, choose and justify data structures for ordered storage, and reason about sorting behav...
Handle feedback, change pivots, and conflict
Question In the behavioral portion of the Meta Data Scientist screen, answer the following leadership prompts using concrete examples from your own wo...
Detect fake accounts and measure their impact
This question evaluates competency in fraud detection, causal impact measurement, experimentation design, and operational analytics for product and ad...
Walk through a resume deep dive
Behavioral Deep Dive: Most Impactful Infrastructure Project Context You are interviewing for a Software Engineer role. The interviewer will ask you to...
Solve Maze and Suffix Problems
Solve the following two coding problems. Problem A: Find the shortest path through a maze with keys and doors You are given a 2D grid representing a m...