How difficult are Data Manipulation (SQL/Python) interview questions?

Data Manipulation (SQL/Python) interview questions range from basic to advanced. Entry-level questions test filtering, joins, simple aggregates and pandas groupby, while mid and senior roles push multi-table joins, window functions, deduping, time-series alignment, null-handling, and performance trade-offs. Interviewers at companies that weight this category heavily, such as Meta, Amazon and TikTok, look for correctness, edge-case thinking, readable code, and clear trade-off explanations. The challenge is rarely obscure syntax; it is turning an ambiguous product or metric prompt into a robust query or transformation that scales and survives messy, real-world data.

Where in a typical interview loop does data manipulation appear and what formats should I expect?

Data manipulation shows up across the loop: initial technical screens often include 30 to 60 minute live SQL or Python problems, take-home assignments use Jupyter or SQL editors for end-to-end cleaning and analysis, and on-site rounds dedicate 45 to 60 minutes to deeper problems that combine query writing with product framing or A/B test interpretation. Companies such as DoorDash, Capital One and Meta commonly place heavy emphasis on this category in both phone screens and loop rounds. Expect a mix of live coding, whiteboard-style reasoning about schemas, and short conversations where you must justify assumptions and performance choices.

How long should I prepare for data manipulation interviews?

Preparation time depends on baseline skill and target company. If you already write SQL and pandas daily, focused sharpening of edge cases and timed practice for two to six weeks often suffices. Candidates aiming at heavily SQL-weighted loops at Meta, Amazon or other top firms typically plan six to twelve weeks to rebuild pattern recall, drill window functions, and rehearse product-driven questioning. Prioritize active practice: solve real-schema SQL problems, build small Python notebooks that replicate common ETL steps, simulate timed screens, and do a few mock interviews to practice explaining assumptions under pressure.

What are the key subtopics I must master in SQL and Python for data manipulation rounds?

Master the basics first: joins, aggregations, GROUP BY semantics, and filtering versus HAVING. Move to window functions for ranking, lead/lag and cumulative metrics, and CTEs for readable stepwise transformations. Handle nulls, deduplication, time alignment, string parsing and timezone-aware date arithmetic. In Python focus on pandas groupby, merges, pivoting, boolean indexing, rolling computations and writing clean, vectorized code. Also understand performance considerations: explain why you choose SQL versus Python for a particular workload and how to reduce row explosion or costly cross joins when working with real datasets.

What standout tips and common pitfalls should I watch for during interviews?

Always start by clarifying the metric, sample schema, and edge cases, and sketch expected sample output before coding. Use small example rows to validate logic and state assumptions about nulls, duplicates, and timezones. Prefer readable CTEs or well-commented pandas steps over one-line cleverness. Watch common pitfalls such as double-counting from incorrect joins, applying HAVING instead of WHERE, off-by-one window boundaries, and failing to dedupe before aggregation. Finally, communicate complexity and trade-offs: explain how your solution handles scale, when you would push work into the warehouse, and what tests you would run in production.

Data Manipulation (SQL/Python) Interview Questions

Practice 674 real Data Manipulation (SQL/Python) interview questions for 2026. Data Manipulation (SQL/Python) interview questions cover the core data work hiring teams use to judge day-one competence: translating product metrics into correct queries, handling edge cases (NULLs, late-arriving events, double-counting), writing efficient joins and window functions, and producing readable, reproducible Pandas code. Real interviews with detailed solutions in this category test both correctness and engineering judgment, not just syntax. Expect these questions across analytics and data-engineering loops at companies that weight practical querying heavily — especially Meta, Amazon, and TikTok. Interviewers evaluate problem scoping, test-case thinking, query performance, and clear communication of assumptions. For interview preparation, focus on hands-on practice: timed live SQL exercises, Pandas data-cleaning drills, and walking through tradeoffs when a naive query will be too slow. Practical habits that help in interviews include writing concise, well-commented queries, stating assumptions up front, and verifying results with small, explicit test cases.

Questions

674

Companies

112

Updated

07.14.2026

674 Questions 112 Companies07.14.2026

PLTCHK

"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"

_The_TaNk_

"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"

ChrisSenior SWE, LinkedIn

"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."

sleepy33

"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."

JakeSenior ML Engineer, Lyft

"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."

nuggetlord

"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."

CarlosFull Stack, Shopify

"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."

boba.tea.vibes

"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."

AndySWE-II, Google

"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."

couchpotato99

"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."

ShrutiData Engineer, Salesforce

"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."

midnightramen

"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."

BiancaFrontend Eng, Figma

"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."

tambrahm007

"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."

toa

"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."

PLTCHK

_The_TaNk_

ChrisSenior SWE, LinkedIn

"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."

sleepy33

"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."

JakeSenior ML Engineer, Lyft

"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."

nuggetlord

CarlosFull Stack, Shopify

"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."

boba.tea.vibes

"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."

AndySWE-II, Google

"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."

couchpotato99

"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."

ShrutiData Engineer, Salesforce

"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."

midnightramen

"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."

BiancaFrontend Eng, Figma

"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."

tambrahm007

"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."

toa

"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."

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Role

Shopify

Medium

Data Scientist

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Data Manipulation (SQL/Python) Interview Questions

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