T-Mobile US Data Engineer Interview Guide

The T-Mobile US 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 T-Mobile US 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 T-Mobile US data engineer loop, across 12 problems. It updates as more T-Mobile US data lands.

Updated Jul 31, 202612 predicted T-Mobile US problems

How candidates rate the T-Mobile US loop

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

How hard candidates rated it

Easy

Medium

83%

Hard

17%

6 rated reports

How candidates felt

Positive

40%

Neutral

20%

Negative

40%

5 rated T-Mobile US reports

Try a T-Mobile US-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 T-Mobile US 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 T-Mobile US-style problems →

T-Mobile US is hiring data engineers now

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

Hiring now

T-Mobile US data engineer · live from career pages

open roles

city

Build and maintain the account scoring and tiering engine that ingests buying signals, incumbency data, and competitive inputs to produce real-time Go/No-Go scores for Capture Managers

L7Frisco32d ago

Levels hiring

L71

Updated Jul 31, 20261 open listing across 1 city

T-Mobile US compensation and culture

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

Data engineering at T-Mobile US→

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

Compare T-Mobile US with other data engineering employers

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

Data engineering at Airbnb→

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Data engineering at Amazon→

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Data engineering at Apple→

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Data engineering at Databricks→

Compare the role, comp, and interview loop.

02 / Why practice

Prepare at T-Mobile US 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 T-Mobile US-level SQL

Related Guides

Data Engineering at T-Mobile US→

The T-Mobile US 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.