Slalom Data Engineer Interview Guide

The Slalom 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

6 real Slalom interview questions

Reported by candidates from real loops, tagged by domain, round, level, and year. Expand for what the round is scoring.

PythonL5 · 2025

Valid Palindrome

Onsite · python

PythonL5 · 2025

Test cases for Valid Palindrome. Troubleshoot EMR (Application taking longer than expected), how would you debug it? They want though process. Spark filter and partition on a df. Reading and writing to a df. Personal experience part too

Onsite · python

PythonL5

Valid Palindrome

Technical · screen

PythonL5

Technical · screen

Data modelingL5 · 2024

Describe snowflake / star database strucure.

Phone screen · screen sql

Data modelingL5 · 2021

What is a Surrogate key?

Phone screen · screen sql

How candidates rate the Slalom loop

How hard candidates rated the loop and how they felt, summarized across the reports below.

How hard candidates rated it

Easy

22%

Medium

78%

Hard

9 rated reports

How candidates felt

Positive

78%

Neutral

Negative

22%

9 rated Slalom reports

Try a Slalom-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

Slalom compensation and culture

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

Data engineering at Slalom→

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

Compare Slalom with other data engineering employers

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

Data engineering at Airbnb→

Compare the role, comp, and interview loop.

Data engineering at Amazon→

Compare the role, comp, and interview loop.

Data engineering at Apple→

Compare the role, comp, and interview loop.

Data engineering at Databricks→

Compare the role, comp, and interview loop.

02 / Why practice

Prepare at Slalom 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 Slalom-level SQL

Related Guides

Data Engineering at Slalom→

The Slalom DE role, comp, tech stack, and culture.

DE Interview Prep Guide→

Complete preparation framework for data engineering interviews.

Data Modeling Questions→

Star schema, SCD, grain definition, and normalization.