Data Engineer Interview Questions
Practice the exact questions companies are asking right now.

"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."

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"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 queries for follows and bookings
You are given tables/logs from a consumer app. Solve the following independent tasks. Part A — Active following as of a date (SQL) You have a follow e...
Compute transaction fees from a CSV string
You are given a CSV string representing a list of payment transactions. Write a function that parses the CSV and returns a CSV string with the total p...
Write SQL using joins and window functions
SQL Coding: Rank within Groups with Joins You are given two tables: accounts - account_id (string) - customer_id (string) - segment (string) — e.g., "...
Define metrics and data model for product features
You are interviewing for a full-stack/data-oriented role. For each of the following product areas, answer Product Sense and Data Modeling prompts. Cho...
Deep-dive XGBoost handling and overfitting
Technical / ML Deep Dive You used gradient-boosted decision trees (e.g., XGBoost/LightGBM) for a credit risk or response prediction problem. Answer th...
Solve SQL and Python coding tasks
You are given a small library system with the following relational schema and several Python data-processing tasks. Answer the SQL questions and imple...
Write SQL for session analytics
You are given two tables for an e-commerce product. Tables 1) shops A shop dimension table that contains duplicate rows for the same shop_id. Columns:...
Evaluate credit-limit increase profitability
Business/Analytics Case: Credit Limit Increase Strategy You are a data scientist supporting a consumer credit business. Scenario The company is consid...
Describe past NLP work and collaboration
Scenario In an initial phone screen, the interviewer asks you to introduce yourself, then drills into your resume. Questions (answer using concrete ex...
Aggregate user logs into 30-minute sessions
You are given a CSV file with columns: user_id | log_datetime | topic Example input rows (already in time order for the same user): - 001 | 2025-03-01...
Evaluate impact of short videos in feed
Scenario You work on a social app’s main News Feed. The team wants to introduce a short-form video module ("Reels") into the feed. Prompt 1. How would...
Explain production model drop to a PM
Role Play: Communicate Model Degradation to a Non-Technical PM You are a data scientist. A PM says: > “Your model performed great on the validation se...
Answer conflict and ambiguity with STAR stories
Job Fit / Behavioral: STAR Stories Prepare answers using the STAR (Situation, Task, Action, Result) format for the following prompts: 1. Tell me about...
Write SQL for car rental utilization by city
SQL / Data Query Prompt (Car Rental) You are given four tables: user - user_id location - location_id - city car - car_id - car_size (e.g., compact, m...
Model entities for feed content and shares
Scenario You are designing the data model for a social app’s News Feed that shows multiple content types (text, image, short video). Users can interac...
Design tables for KPI dashboard
You need to design the analytical data model behind a KPI dashboard for a large-scale photo-sharing app. Raw source tables: - users(user_id, user_name...
Solve Two String Problems
You are asked to solve the following two coding problems: 1. Unique Morse Code Transformations You are given an array of lowercase English words, word...
Answer Amazon Behavioral Questions
You are interviewing for an Amazon Software Development Engineer internship final round. Prepare strong, structured responses to the following behavio...
Answer DE behavioral and ramp-up questions
Answer the following behavioral questions for a Data Engineer (or data-focused full-stack) role. Provide specific examples. 1. Project under a tight d...
Implement most_frequent_key without using max()
Problem (Python OOP) You are given two classes. Parent precomputes frequency counts of items (as strings) from an input list. `python class Parent: ...