Nike Data Engineer Interview Questions + Guide in 2025

Overview

Getting ready for an Data Engineer interview at Nike? The Nike Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:

  • Know what skills are necessary for Nike Data Engineer roles.
  • Gain insights into the Data Engineer interview process at Nike.
  • Practice real Nike Data Engineer interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Nike Data Engineer interview.

Nike Data Engineer Salary

$136,312

Average Base Salary

$129,233

Average Total Compensation

Min: $105K
Max: $174K
Base Salary
Median: $132K
Mean (Average): $136K
Data points: 43
Min: $26K
Max: $200K
Total Compensation
Median: $150K
Mean (Average): $129K
Data points: 5

View the full Data Engineer at Nike salary guide

Challenge

Check your skills...
How prepared are you for working as a Data Engineer at Nike?

Nike Data Engineer Interview Process

Typically, interviews at Nike vary by role and team, but commonly Data Engineer interviews follow a fairly standardized process across these question topics.

Click or hover over a slice to explore questions for that topic.
Data Structures & Algorithms
(176)
SQL
(157)
Data Modeling
(30)
Data Pipelines
(19)
Machine Learning
(17)

We've gathered this data from parsing thousands of interview experiences sourced from members.

Nike Data Engineer Interview Questions

Practice for the Nike Data Engineer interview with these recently asked interview questions.

QuestionTopicDifficulty
SQL
Medium

As a data analyst in a fitness app company, you are tasked with analyzing the user’s daily step count.

Write a SQL query to calculate the 3-day rolling average of steps for each user, rounded to the nearest whole number.

Notes: The rolling average should only be calculated for days where there are 3 previous days of step counts, including the current day. The first 2 days for any user should be excluded.

Example:

Input:

daily_steps table

Column Type
id INTEGER
user_id INTEGER
steps INTEGER
date DATE

Output:

Column Type
user_id INTEGER
date DATE
avg_steps FLOAT
SQL
Easy
SQL
Medium
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View all Nike Data Engineer questions

Nike Data Engineer Jobs

Data Engineer- IICS, Snowflake, SQL Developer
Senior Data Engineer
Senior Data Engineer
Senior Data Engineer
Senior Data Engineer / Time-Series Data & Python / Tier One Hedge Fund
Senior Data Engineer
Senior Data Engineer
Sr. Azure Data Engineer
Senior Data Infrastructure Engineer

Discussion & Interview Experiences

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