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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Compute video-call SQL metrics with edge cases
Use 'today' = 2025-09-01. Assume UTC timestamps. Write SQL to answer both parts below and call out how your queries handle edge cases (duplicates, fai...
Compute unconnected 60s posts and reactions averages
Given these tables and sample data, write SQL that answers both tasks below. Use today = 2025-09-01 and interpret "last/past 7 days" as the inclusive ...
Write SQL for visibility, calls, and cohort activity
You have the following schema and toy data. Assume "today" = 2025-09-01. users(user_id INT, signup_date DATE) Sample: user_id | signup_date -------...
Calculate survey response and quality metrics in SQL
Compute survey response-rate and quality metrics from event data. Assume "today" = 2025-09-01, and compute over the last 7 days (2025-08-26 to 2025-09...
Define and compute shop visibility in SQL
You own the 'shop visibility' KPI for a marketplace. Define a precise metric and write SQL to compute it over the last 7 days (use today = 2025-09-01,...
Write SQL to compare exclusive category engagement
You are given session-level data and must compare engagement between users who exclusively used the 'social' category versus those who exclusively use...
Increase posts receiving one comment
This question evaluates a data scientist's competency in product analytics and experimentation, specifically metric definition and guardrails, segment...
Write SQL for shop visibility and activity metric
Assume 'today' is 2025-09-01. Schema and tiny samples: 1) shops(shop_id INT, created_at DATE) Sample: shop_id | created_at 1 | 2025-08-25 2 | 2025...
Compute unread and multi-account user percentages
You’re given two tables. Write ANSI-SQL to answer parts (a)–(d). Treat a notification as unread if read_at IS NULL. Denominator for user-level percent...
Compute survey rates and bias-correct ratings
Today is 2025-09-01. Use the schema and sample data below to answer A and B with SQL (standard SQL; you may use CTEs and window functions). Assume tim...
Measure and mitigate notification spam
This question evaluates a data scientist's competency in defining precise success and guardrail metrics, designing counterfactual-aware experiments an...
Write SQL for hashtag analytics and joins
Assume today = 2025-09-01. Schema and small sample data are below. Use ANSI SQL; explain any dialect-specific functions you choose. Where asked, expla...
Write SQL to localize anomaly and funnel
Given the schema and toy data below, write SQL to (a) validate instrumentation vs behavior change, (b) localize the 2025-09-01 Likes drop by app_versi...
Label new vs old users over time in SQL
Define users as “new” during the first 30 days inclusive after their signup_date, and “old” thereafter. Produce per-user, per-day labels over a window...
Write SQL for engagement and attribution KPIs
Using the schema and sample data below, answer the SQL tasks. Assume timestamps are UTC and comments with is_deleted=1 do not count. Schema: users(use...
Calculate posts per DAU by country today
Given two tables: - user_activity(user_id INT, activity_date DATE, country STRING, dau_flag TINYINT CHECK(dau_flag IN (0,1))) - composer(user_id INT, ...
Compute daily post success rate for last 7 days
You have a table composer(user_id INT, event STRING CHECK(event IN ('enter','post','cancel')), event_date DATE). Compute the post success rate for eac...
Write SQL to compute shop visibility share
Assume today is 2025-09-01. Compute the top 3 shops by average daily visibility share over the last 7 days (2025-08-26 to 2025-09-01, inclusive) for U...
Write SQL with HAVING and efficient joins
You are given two tables. Schema - interactions(product_id INT, buyer_id INT, seller_id INT, interaction_date DATE, interaction_type VARCHAR, interact...
Produce dating profile funnel report by cohort
You work on a dating app. Produce a daily profile-funnel report for 2025-08-25 through 2025-09-01 inclusive, with one row per day, gender, and age_buc...