Snap Data Engineer Interview Guide

The Snap data engineer loop, round by round: what each stage tests, example questions with the guidance interviewers actually score, the mistakes that sink strong candidates, and how to prepare.

Last updated: July 31, 2026Proudly published by: Jeff Wahl

Try a Snap-style SQL round

Find every user active on 3 or more CONSECUTIVE days. This gaps-and-islands shape shows up in nearly every DE SQL round. Edit the query and run it against the seed data.

	/* Users active on 3+ consecutive days. */
	/* Hint: date minus a per-user ROW_NUMBER is constant within a streak. */
	WITH streaks AS (
	SELECT
	user_id,
	activity_date,
	activity_date - CAST(
	(ROW_NUMBER() OVER (
	PARTITION BY user_id
	ORDER BY activity_date
	))
	AS INT
	) AS grp
	FROM user_sessions
	)

	SELECT
	user_id
	FROM streaks
	GROUP BY user_id, grp
	HAVING COUNT(*) >= 3

Snap is hiring data engineers now

The roles behind this loop. Prep against the levels and locations they are actually filling.

Hiring now

Snap data engineer · live from career pages

open roles

Toronto

top metro

Define and lead enterprise data migration strategies from SQL Server, DB2, and AS/400 platforms to Snowflake.

L4Raleigh29d ago

Build, automate, and maintain resilient pipelines for cleaning, validating, and transforming batch and streaming data that feed into medallion architectures.

L4Chicago32d ago

Create AI sympathetic annotations to new and existing data sets

L4Chicago32d ago

Develop and maintain data pipelines using Python, SQL, Snowflake, and AWS

L5Halifax35d ago

Build scalable ETL/ELT pipelines using AWS Glue, Lambda, Step Functions, EMR, or Apache Spark

L4Multiple locations39d ago

Design advanced distributed data processing solutions using Python and PySpark to deliver reliable batch and streaming pipelines that support key business analytics needs

L5St Francis44d ago

· Architect scalable data solutions leveraging AWS services such as Glue, Redshift, S3, EMR, Lambda, Aurora, and Kinesis.

L5Multiple locations46d ago

Design, build, and maintain scalable ETL pipelines and cloud-based data architectures

L4Hartford50d ago

Design, build, and operate scalable, cloud‑native data platforms supporting batch and streaming use cases, with strong focus on governance, performance, and reliability.

L5Charlotte56d ago

Design and implement scalable ETL/ELT pipelines and data transformation frameworks using AWS-native services including Glue, EMR, Lambda, and Kinesis.

L5Charlotte58d ago

New postings per week

6/1

6/8

6/15

6/22

6/29

7/6

week beginning · ~6 weeks of data

Where they hire

Toronto

Chicago

New York

Washington DC

Levels hiring

L45L55

Updated Jul 31, 202631 open listings across 6 cities

Snap compensation and culture

The numbers, tech stack, and team structure live on the company overview.

Data engineering at Snap→

The role, comp by level, tech stack, teams, and culture signals.

Compare Snap with other data engineering employers

How the role, pay, and loop stack up against peer companies.

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Compare the role, comp, and interview loop.

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Compare the role, comp, and interview loop.

02 / Why practice

Prepare at Snap interview difficulty

01
Reading a solution is not the same as writing one
Every engineer who has frozen on a query they had read a dozen times knows the gap. The only preparation that closes it is producing the answer yourself, under time, before the interview does it for you
02
76% of hiring managers reject on the coding task, not the resume
From HackerRank's 2024 Developer Skills Report. Candidates who look strong on paper still fail the live screen if they haven't done timed, executable practice
03
5 problem shapes cover 80% of data engineer loops
Dedup, sessionization, top-N-per-group, slowly-changing dimensions, partition tricks. Writing the shapes by hand turns the unfamiliar into pattern recognition

Practice Snap-level SQL

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