Red Hat Data Engineer Interview Guide

The Red Hat 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

What the Red Hat loop tests: domains and difficulty

Our prediction of the question mix by domain and difficulty for this company's data engineer loop, from live listings and interview reports.

By domain

SQL

33%

Python

67%

By difficulty

Easy

42%

Medium

42%

Hard

17%

The domain and difficulty mix we predict for a Red Hat data engineer loop, across 12 problems. It updates as more Red Hat data lands.

Updated Jul 31, 202612 predicted Red Hat problems

Try a Red Hat-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

Practice the Red Hat loop

The problems our model expects in this company's interview, grouped by round. Work the shapes that come up, not the ones that read well on a list.

SQL3 to work

EASY~5m

Top Performing Models

Auth Service Health Checks

Solve →

Python3 to work

EASY~5m

What Won't Convert

Error HandlingSolve →

All Red Hat-style problems →

Red Hat is hiring data engineers now

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

Hiring now

Red Hat data engineer · live from career pages

open roles

Research Triangle

top metro

Deploy pipelines and infrastructure in both proof of concept (POC) and production form to support the Customer Data Platform initiatives.

L7Raleigh23d ago

Where they hire

Research Triangle

Levels hiring

L71

Updated Jul 31, 20261 open listing across 1 city

Red Hat compensation and culture

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

Data engineering at Red Hat→

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

Compare Red Hat 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 Red Hat 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 Red Hat-level SQL

Related Guides

Data Engineering at Red Hat→

The Red Hat 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.