Snap Data Engineer Interview GuideSnap Data Engineer Interview Guide

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

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.

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.

Question
Topics
Difficulty
Ask Chance
Database Design
Easy
Very High
Python
R
Medium
Very High

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View all Snap Inc. Data Engineer questions

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