Roblox Data Manipulation (SQL/Python) Interview Questions
Roblox Data Manipulation (SQL/Python) interview questions focus on working with large, event-driven game datasets where time-series logic, sessionization, and performance matter as much as correctness. Interviewers typically evaluate your ability to write clear, efficient SQL (joins, window functions, CTEs, aggregations and NULL handling) and to transform and validate data with Python (pandas, vectorized operations, memory-aware processing and readable code). Expect questions that probe tradeoffs between correctness and latency, how you reason about edge cases in user/session data, and your ability to communicate assumptions and validation steps. For interview preparation, practice end-to-end problems: derive metrics from raw event logs, debug surprising aggregations, and optimize queries for scale while keeping results reproducible. Prepare for a mix of live SQL/pair-programming, take‑home exercises, and product-facing discussions about metric definitions. Emphasize clear, testable code, articulate assumptions, and rehearse concise explanations of tradeoffs — that combination is often the differentiator in Roblox technical interviews.
"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."
"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."
"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Write SQL for influence score and follower growth
You are working on a social product with these tables: Tables / Schemas users - user_id BIGINT (PK) - created_at TIMESTAMP posts - post_id BIGINT (PK)...
Match requests and accepts into friendships in SQL
Given two event tables, write a single SQL query (PostgreSQL) to output unique undirected friendships with the earliest valid friendship_date. Schema ...
Clean and aggregate factory event data in Pandas
You are given three Pandas DataFrames for a factory: (1) events[event_id, machine_id, ts_utc (datetime64[ns, UTC]), event_type in {'start','stop','fau...
Implement deduped CTR/RPM aggregator over event stream
Implement a Python function to compute per-day, per-campaign CTR and RPM from an event stream with possible out-of-order and duplicate click events. I...
Compute CTR, RPM, and daily RPM variability in SQL
Write ANSI-Postgres SQL to compute, for each campaign, over the last 7 days inclusive (assume "today" is 2025-09-01, so the window is 2025-08-26 throu...
Write SQL for ads metrics and variability
Write ANSI SQL to compute daily and campaign-level metrics, including averages and standard deviations of daily CTR and CPC, using the schema and samp...
Compute ARPDAU/ARPPU by country
Using only the two tables below, write a single SQL query that returns, for each day and country in the last 7 days inclusive (2025-08-26 through 2025...
Write SQL to flag suspect payments and chargebacks
Assume today is 2025-09-01. Using only CASE WHEN and JOINs (no window functions required), write a single SQL query that produces, for each user with ...
Analyze Recent Orders Dataset with Python/pandas
orders | order_id | user_id | price | created_at | |----------|---------|-------|------------| | 1 | 101 | 20.5 | 2024-01-01 | | 2 ...
Generate Friendship List with Acceptance Dates Using Pandas
friend_events | requester_id | accepter_id | request_date | accept_date | |--------------|-------------|--------------|-------------| | 1 |...