Snap Inc. Data Engineer Interview Questions + Guide in 2025

Written by IQ Team

Reviewed by Andre

Published March 27, 2026

Estimated reading time: 6 minutes

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.

$138,353

Average Base Salary

$202,344

Average Total Compensation

Min: $118K

Max: $163K

Min: $40K

Max: $377K

The average base salary for a Data Engineer at Snap Inc. is $138,353

based on 11 data points.

Adjusting the average for more recent salary data points, the average recency weighted base salary is $137,950.

The estimated average total compensation is $202,344

based on 5 data points.

The average recency weighted total compensation is $194,309.

View the full Data Engineer at Snap Inc. salary guide

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

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)

Product Sense & Metrics

(73)

Analytics

(49)

Statistics

(40)

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

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

Question	Topic	Difficulty
Merge Sorted Lists	Data Structures & Algorithms	Easy
Given two sorted lists, write a function to merge them into one sorted list. Bonus: What’s the time complexity? Example: Input: `list1 = [1,2,5] list2 = [2,4,6]` Output: `def merge_list(list1,list2) -> [1,2,2,4,5,6]` View Question Show Solution
Liked Pages	SQL	Medium
Permutation Palindrome	Data Structures & Algorithms	Medium

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Calculate Moving Average	SQL	Easy
Predict Customer Churn	Machine Learning	Medium
A/B Test Significance	Statistics	Medium
Optimize Query Performance	SQL	Hard
Feature Importance Analysis	Machine Learning	Medium
Clean Missing Data	Python	Easy
Neural Network Architecture	Deep Learning	Hard
Calculate Cohort Retention	SQL	Medium
Bayesian Probability	Statistics	Easy
Recommend Similar Products	Machine Learning	Hard