Dropbox Data Engineer Interview Case Study

CAREER Published Updated 2 mins read By Leon Wei
Dropbox Data Engineer Interview Case Study cover image

Quick summary

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This historical case study records one SQLPad customer’s reported Dropbox data engineer interview. The account does not identify the interview date or candidate. It should be used as a preparation example, not a description of Dropbox’s current process.

Overall it took 5 weeks.


TLDR

Candidate: N/A

How it gets started: Recruiter reached out on LinkedIn

Job level: IC2 (mid-level)

Year of Experience: 5

Degree: M.S & B.S. in CS

Offer: Yes

Compensation: omitted because the original summary, total, and component figures conflict, and the equity time basis is unclear.

Location: Remote

Interview process: 5 weeks

Preparation: 2 months

Has a job: yes

Decide to join: No


Round 1: HR call

Why are you interested in leaving your current job? What do you know about Dropbox? Have you used our product in the past? Do you want to work remotely or relocate to San Francisco, CA?


Round 2: SQL Coding Interview

Sample dropbox sql coding questions

Interviewed by a data engineer from the same team. Very nice guy.

1. Categorize data into different groups with CASE WHEN statement;

2. Ranking with window functions;


Round 3: Virtual Onsite Interview 

1. Data Structures and Algorithm: reverse print a matrix with your preferred programming language;

2. Data modeling (design a database);

3. Behavioral questions/ leadership questions;

4. Deep dive into a recent project (based on the resume)

5. Questions for dropbox (chat with HR)


Final Offer

The candidate reported receiving an offer and deciding not to join. The available account does not support a reconciled compensation total.

Practice this interview’s distinct tasks

For CASE WHEN, include a value at each category boundary and one missing value. For ranking, decide whether ties should share a rank or whether a deterministic tie-breaker is needed. For the matrix task, clarify what “reverse print” means before coding: reverse rows, reverse each row, or reverse traversal are different requirements.

For data modeling, specify the grain of each table, keys, and a query the model must support. Prepare one project discussion that covers the original requirement, your design choice, an alternative you rejected, and evidence of the result. Confirm the current interview structure with the recruiter before allocating preparation time.

Interview Prep

Begin Your SQL, Python, and R Journey

Master 230 interview-style coding questions and build the data skills needed for analyst, scientist, and engineering roles.

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