Snap Inc. Data Engineer Interview Questions + Guide in 2025

Overview

Getting ready for an Data Engineer interview at Snap? The Snap Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:

  • Know what skills are necessary for Snap Data Engineer roles.
  • Gain insights into the Data Engineer interview process at Snap.
  • Practice real Snap Data Engineer interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Snap Data Engineer interview.

Snap Data Engineer Salary

$138,353

Average Base Salary

$202,344

Average Total Compensation

Min: $118K
Max: $163K
Base Salary
Median: $140K
Mean (Average): $138K
Data points: 11
Min: $40K
Max: $377K
Total Compensation
Median: $201K
Mean (Average): $202K
Data points: 5

View the full Data Engineer at Snap Inc. salary guide

Challenge

Check your skills...
How prepared are you for working as a Data Engineer at Snap Inc.?

Snap Data Engineer Interview Process

Typically, interviews at Snap vary by role and team, but commonly Data Engineer interviews follow a fairly standardized process across these question topics.

Click or hover over a slice to explore questions for that topic.
Data Structures & Algorithms
(176)
SQL
(157)
Data Modeling
(30)
Data Pipelines
(19)
Machine Learning
(17)

We've gathered this data from parsing thousands of interview experiences sourced from members.

Snap Data Engineer Interview Questions

Practice for the Snap Data Engineer interview with these recently asked interview questions.

QuestionTopicDifficulty
SQL
Medium

Let’s say we want to build a naive recommender. We’re given two tables, one table called friends with a user_id and friend_id columns representing each user’s friends, and another table called page_likes with a user_id and a page_id representing the page each user liked.

Write an SQL query to create a metric to recommend pages for each user based on recommendations from their friend’s liked pages. 

Note: It shouldn’t recommend pages that the user already likes.

Example:

Input:

friends table

Column Type
user_id INTEGER
friend_id INTEGER

page_likes table

Column Type
user_id INTEGER
page_id INTEGER

Output:

Column Type
user_id INTEGER
page_id INTEGER
num_friend_likes INTEGER
Data Structures & Algorithms
Medium
Machine Learning
Easy
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View all Snap Inc. Data Engineer questions

Snap Data Engineer Jobs

Staff Product Manager, Ads Product - App Ads
Staff Product Manager, Dynamic Ads
Senior Data Engineer
Senior Data Engineer
Data Engineer- IICS, Snowflake, SQL Developer
Senior Data Engineer
Senior Data Engineer / Time-Series Data & Python / Tier One Hedge Fund
Senior Data Engineer
Senior Data Engineer

Discussion & Interview Experiences

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