Top 34

Prep plan

Updated weekly · Last refresh Oct 17

Dropbox Data Engineer Interview Questions

The questions to prepare for a Dropbox Data Engineer interview. Questions from real interview reports rank first. Updated daily.

34questions

~6htotal time

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CodingStart here. 4 questions · ~41 min

Merge Two Sorted Linked ListsEasy

Practice

Merge two sorted singly linked lists into one sorted list by relinking existing nodes.

RecursionLinked ListsSorting

Dropbox

SQL and LeetCode-Style QuestionsMedium

Practice

Demonstrate a structured approach to SQL and LeetCode-style interview problems using a hash-map array solution.

CodingleetcodeArrays

Dropbox

SQL Stored Procedures CodingMedium

Practice

Implement procedure-style batch processing that keeps the latest event and aggregates values by entity.

deduplicationaggregationdata persistence

Dropbox

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SQL & Data Manipulation5 questions + 1 drill · ~61 min

Clustered vs Non-Clustered IndexesMedium

Explain how clustered and non-clustered indexes differ in storage, lookup behavior, and query performance.

JoinsData Wrangling

Dropbox

SQL Questions From Given SchemaMedium

Practice

Use a provided schema to calculate January file download activity for every user, including users with no qualifying downloads.

JoinsData Manipulationsql

Dropbox

Optimize a Slow SQL QueryHard

Practice

Practice drill

Rewrite a slow PostgreSQL loan payment query to reduce scanned rows while preserving the required aggregated results.

database optimizationJoinsData Wrangling

AmeripriseEEltro Cyberchrome Private

EnergyHub

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Pipelines17 questions · ~174 min

Data Governance in PipelinesMedium

Describe a practical approach to data governance across shared data pipelines, including quality, ownership, lineage, and controlled data access.

InfrastructureQuality

Dropbox

Data Quality and Schema EvolutionMedium

Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.

schema evolutionData ModelingQuality

Dropbox

Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQuality

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Behavioral & Leadership8 questions · ~82 min

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The finish line: interview-readyComplete all 34 questions plus 1 hands-on drill to finish this plan.