NIKE, Inc. Data Engineer Interview Guide

The NIKE, Inc. 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 NIKE, Inc. 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

36%

Python

64%

By difficulty

Easy

50%

Medium

21%

Hard

29%

The domain and difficulty mix we predict for a NIKE, Inc. data engineer loop, across 14 problems. It updates as more NIKE, Inc. data lands.

Updated Jul 31, 202614 predicted NIKE, Inc. problems

Try a NIKE, Inc.-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 NIKE, Inc. 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

High Volume Batch Jobs

Solve →

EASY~5m

Low-Byte CDN Responses

Date ArithmeticSolve →

Python3 to work

All NIKE, Inc.-style problems →

NIKE, Inc. is hiring data engineers now

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

Hiring now

NIKE, Inc. data engineer · live from career pages

open roles

city

Design, build and operate scalable, fault-tolerant data pipelines and ETL/ELT frameworks that support batch, streaming and near-real-time data processing.

L4Karnataka8d ago

Exposure to REST API development and data service integration, with understanding of microservices architecture concepts and basic architectural design patterns Awareness of data visualization concepts and dashboard design principles; experience with frameworks such as React, Vue.js, or Angular is a plus.

L4Karnataka

Strong understanding of Lakehouse architecture, Data Mesh principles, data governance frameworks, and modern data pipelines.

L5Karnataka

WHAT YOU’LL WORK ON What You’ll Do Design, build, deploy, and own complete, scalable, and reliable end to end, software to data platforms and solutions.

L5Karnataka

Levels hiring

L42L52

Updated Jul 31, 20264 open listings across 1 city

NIKE, Inc. compensation and culture

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

Data engineering at NIKE, Inc.→

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

Compare NIKE, Inc. 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→

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Data engineering at Databricks→

Compare the role, comp, and interview loop.

02 / Why practice

Prepare at NIKE, Inc. 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 NIKE, Inc.-level SQL

Related Guides

Data Engineering at NIKE, Inc.→

The NIKE, Inc. 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.