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Data Engineer Interview Questions
Practice 9403 coding, system design and machine learning questions from 546 companies, sorted by role, topic and interview round. Every question has step-by-step hints, a code runner that supports 8 languages and an AI mentor; members also get the full solution walkthrough.
- 9403
- Questions
- 546
- Companies
- 11
- Topics
- 8
- Languages
Showing 1–30 of 45 results
- AgodaEasyData EngineerCount Integers That Appear Exactly Once
Count distinct integers with frequency exactly one using complete occurrence counts, including empty arrays and separated duplicates.
Coding & AlgorithmsTechnical Screen - Akuna CapitalMediumData EngineerCompute Graph Spread and Portfolio Trades
This problem tests graph traversal (connected components) and hash-map manipulation to calculate net delta changes in portfolio assets within identified groups.
Coding & AlgorithmsOnline AssessmentGraphDFS/BFSHash Map - AmazonEasyData EngineerSolve Two String Problems
This task evaluates string manipulation and encoding for generating unique Morse representations, along with sentence segmentation and combinatorial enumeration for producing all valid word-break sentences, focusing on transformation, deduplication, and decomposition skills.
Coding & AlgorithmsTechnical Screen - AppleHardData EngineerEncode and Rebuild a Binary Tree
This question evaluates skills in data structure serialization and deserialization, binary tree representation, and algorithmic design for deterministic data formats.
Coding & AlgorithmsTechnical Screen - AppleEasyData EngineerImplement most_frequent_key without using max()
This question evaluates proficiency in Python fundamentals and object-oriented inheritance, focusing on frequency aggregation using a precomputed dictionary, iteration over mappings, and correct handling of ties and empty inputs.
Coding & AlgorithmsTechnical Screen - BlackRockMediumData EngineerSolve two interval array problems
This question evaluates proficiency with array and interval-manipulation concepts—specifically sorting, merging overlapping ranges, and robust edge-case handling in interval operations.
Coding & AlgorithmsTechnical Screen - BloombergMediumData EngineerImplement classes within an abstract Python framework
This question evaluates a candidate's skills in object-oriented design, implementing concrete classes from abstract interfaces, file I/O and streaming data transformations, error handling, and integration with a registry and CLI within a Python codebase.
Coding & AlgorithmsTechnical Screen - ByteDanceMediumData EngineerConnect Points With Minimum Total Distance
This problem tests your ability to model a geometric optimization task as a Minimum Spanning Tree (MST) problem and implement it efficiently using Kruskal's or Prim's algorithm.
Coding & AlgorithmsOnsiteGraphsMSTGeometry - ByteDanceHardData EngineerMaximize watch time under adjacency constraint
This Coding & Algorithms question for a Data Engineer role evaluates dynamic programming and sequence-optimization skills by requiring selection of a subsequence under a pairwise adjacency constraint on video durations, at a moderate-to-advanced algorithmic abstraction level.
Coding & AlgorithmsTechnical Screen - DRWEasyData EngineerCompute a Year-End Balance with Monthly Card Fees
This problem tests logic implementation and data structure traversal, requiring the integration of conditional logic (fee waivers) into a sequential processing pipeline.
Coding & AlgorithmsOnline AssessmentData ProcessingLogicAggregation - DRWEasyData EngineerDelete the Fewest Characters to Avoid Triple Repeats
This problem tests string manipulation, greedy algorithm logic, and the ability to track character frequency counts to identify and prune violations of a constraint.
Coding & AlgorithmsOnline AssessmentStringsGreedyArrays - DRWEasyData EngineerImplement Nested Transactions in an In-Memory Database
This problem tests your ability to manage state and scope using stacks and dictionaries to implement transaction isolation in a key-value store.
Coding & AlgorithmsOnline AssessmentHash MapStackTransactions - DRWEasyData EngineerValidate a Password Against Explicit Security Rules
This problem tests string manipulation, character set validation, and the ability to apply a sequence of conditional checks efficiently.
Coding & AlgorithmsOnline AssessmentStringsValidationIteration - DisneyMediumData EngineerGenerate All Valid Combinations of Balanced Parentheses
This question tests a candidate's ability to apply recursive backtracking and combinatorial generation in a coding interview context. It evaluates understanding of constraint-based enumeration and string construction, core algorithmic skills frequently assessed in software engineering and data engineering roles.
Coding & AlgorithmsOnline Assessment - DisneyMediumData EngineerGenerate All Well-Formed Parenthesis Strings
This question tests practical understanding of recursion and backtracking through enumeration of all valid parenthesis combinations of a given length. It is a classic coding interview problem that evaluates combinatorial reasoning, constraint-based pruning, and familiarity with Catalan number sequences in algorithm design.
Coding & AlgorithmsOnline Assessment - FigmaMediumData EngineerWrite SQL for first share and closest collaborator
This question evaluates SQL proficiency—specifically joins, filtering, type casting, temporal aggregation, window functions or deduplication, and deterministic tie-breaking—by requiring derivation of first non-creator view times and per-creator collaborator counts from event tables.
Coding & AlgorithmsTechnical Screen - GoogleMediumData EngineerUser Activity Analytics: Unique Users per Activity and Average Time on Site
This question evaluates a candidate's ability to process semi-structured event data using grouping, deduplication, and timestamp arithmetic in Python. It falls under coding and algorithms, commonly asked to assess practical data-wrangling skills such as aggregating per-key counts and computing time-based metrics while handling edge cases like unordered records and single-event users.
Coding & AlgorithmsTechnical Screen - GoogleMediumData EngineerWrite SQL and merge linked lists
Solve a SQL customer order aggregation task and merge two sorted linked lists. The solution uses CTEs, window functions, LEFT JOINs, COALESCE, latest-order tie handling, optional returned-order filtering, and an O(m+n) dummy-head linked-list merge.
Coding & AlgorithmsTechnical Screen - Interactive BrokersMediumData EngineerCompute Minimum Production Days
A data engineering coding screen on greedy scheduling under a cooldown constraint: produce an ordered list of products, one per day, where each product type must cool down for `space` days before it can be produced again. Candidates must return the minimum number of days, ideally in O(n) time using a hash map of last-produced days.
Coding & AlgorithmsTechnical Screen - LinkedInMediumData EngineerImplement a stack supporting max and popMax
This question evaluates understanding of data structures and algorithmic complexity, focusing on designing a stack variant that supports efficient retrieval and removal of the current maximum while preserving stack behavior.
Coding & AlgorithmsTechnical Screen - MetaHardData EngineerCompute Max Score From Up to 3 Categories
This Coding & Algorithms question in the Data Engineer domain evaluates grouping and top‑k aggregation concepts, testing the ability to combine per-category aggregation with selection under a uniqueness constraint.
Coding & AlgorithmsTechnical Screen - MetaMediumData EngineerCompute capacities after site closures
This question evaluates a candidate's ability to manipulate nested dictionary data structures and perform aggregate capacity computations, assessing data transformation, mapping, and set-based reasoning skills relevant to a Data Engineer within the Coding & Algorithms domain.
Coding & AlgorithmsTechnical Screen - MetaMediumData EngineerSolve SQL and Python coding tasks
This question evaluates SQL proficiency in relational querying (joins, filtering, aggregation) and Python algorithmic problem-solving for non-adjacent selection, measuring a data engineer's ability to manipulate relational data and implement efficient algorithms.
Coding & AlgorithmsTechnical Screen - MetaMediumData EngineerSolve library coding tasks in Python
Solve library coding tasks in Python evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Coding & AlgorithmsTechnical Screen - MetaMediumData EngineerValidate alternating checkout/return logs
This question evaluates the ability to process sequential event logs, maintain per-entity state invariants (checkout vs return), and reason about algorithmic time and space complexity within a validation task.
Coding & AlgorithmsTechnical Screen - MetaMediumData EngineerValidate carpool capacity
This question evaluates understanding of interval-based resource accounting and algorithmic reasoning with cumulative constraints, assessing skills in processing time-bound events and managing capacity limits.
Coding & AlgorithmsOnsite - MetaHardData EngineerWrite SQL for car rental utilization by city
This question evaluates proficiency in SQL querying and relational data modeling, focusing on time-interval overlap logic, distinct aggregation across joined tables, null handling, and safe computation of utilization metrics.
Coding & AlgorithmsOnsite - MetaMediumData EngineerWrite queries for follows and bookings
This problem tests your ability to manage relational data, handle temporal overlaps for booking availability, and derive insights from social graph-like connections using SQL or data manipulation scripts.
Coding & AlgorithmsTechnical ScreenSQLIntervalsGraphs - NVIDIAMediumData EngineerMerge Overlapping Time Intervals
Practice a NVIDIA coding interview problem focused on merge overlapping time intervals. The prompt emphasizes edge cases, clean implementation, and verifiable test behavior without revealing the solution.
Coding & AlgorithmsTechnical Screen - NetflixHardData EngineerImplement a Weighted Eviction Cache
This problem tests your ability to design a cache that respects both memory capacity and item weights, requiring an efficient combination of a hash map and a doubly linked list.
Coding & AlgorithmsTechnical ScreenHash MapDoubly Linked ListLRU Cache
Agoda
Akuna Capital
Amazon
Apple
Bloomberg
DRW
Disney
Figma
Google
LinkedIn
Meta
NVIDIA
Netflix