Shopify Interview Questions

Shopify Interview Questions

Practice 82 real Shopify interview questions for 2026 — actual interview prompts with detailed solutions to accelerate your interview preparation. This collection emphasizes Coding & Algorithms and System Design first, then Analytics & Experimentation, Data Manipulation (SQL/Python), ML System Design, and Behavioral & Leadership, and covers roles including Software Engineer, Data Scientist, Machine Learning Engineer, and Data Engineer. Expect a coding-heavy process with pair-programming and system-design deep dives for engineers, product-metric case studies and experiment design for data roles, and take-home or modeling tasks for ML positions. For Software Engineers anticipate URL-shortener and multi-rover controller designs, caching and assignment systems, and live pair-programming on algorithmic problems. Data Scientists should prepare for product-measurement cases (piracy and App Store metrics), funnel-debugging, experiment design, analytics/BI hardening, and occasional algorithmic implementations like LRU caches. Machine Learning Engineers will see applied-system problems: fraud detection, hierarchical product classification, delivery-time prediction, simulation-based fleet/robot problems, and labeling strategy design. Data Engineers encounter session-analytics SQL and pipeline robustness. To prepare, blend timed coding practice, system-design sketching, product-metrics case work, and end-to-end ML system thinking.

82 Questions 1 Company07.08.2026
Showing 20 results
Role
Shopify logo
Shopify
Medium
Data Scientist AI

Compute Jaccard Similarity for Lists

Implement a Python function to compute the Jaccard similarity between two lists of strings. `python def jaccard_similarity(a: list[str], b: list[str])...

Coding & Algorithms
1
0
27 people solved
Apr 28, 2026
Shopify logo
Shopify
Medium
Machine Learning Engineer

Demonstrate Git and build workflow

End-to-End Git and Tooling Workflow (Feature Branch + CI) Context You are given a repository URL and asked to demonstrate a pragmatic, reproducible wo...

Software Engineering Fundamentals
9
0
102 people solved
Aug 12, 2025
Shopify logo
Shopify
Medium
Data Scientist

Describe Your Path and Key Data Science Project

Describe Your Path and Key Data Science Project Onsite Behavioral + Project Deep Dive (Data Scientist) Context You are in an onsite behavioral round f...

Behavioral & Leadership
5
0
83 people solved
Aug 4, 2025
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Shopify
Easy
Machine Learning Engineer Locked

Implement an LRU Cache

This question evaluates a candidate's competency in designing efficient cache mechanisms and managing time and space complexity for operations require...

Coding & Algorithms
16
0
164 people solved
Jan 22, 2026
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Shopify
Medium
Machine Learning Engineer

Simulate robot moves on a grid

You are given an m x n grid and a robot that starts at position (r, c) (0-indexed). You are also given a string commands consisting of characters 'U',...

Coding & Algorithms
10
0
120 people solved
Feb 18, 2026
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Shopify
Medium
Machine Learning Engineer AI Locked

Implement a Capacity-Bounded Cache

This question evaluates a candidate's ability to design and implement an efficient capacity-bounded in-memory key-value cache, assessing understanding...

Coding & Algorithms
6
0
71 people solved
Feb 3, 2026
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Shopify
Medium
Data Scientist

Implement Cosine Similarity Function for String Vectors

Scenario Technical phone screen in Python; assess ability to implement similarity metric. Question Implement a Python function that computes the cosin...

Coding & Algorithms
9
0
103 people solved
Aug 4, 2025
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Shopify
Medium
Data Scientist

Describe Your Professional Growth and Key Learning Experiences

Describe Your Professional Growth and Key Learning Experiences Behavioral Interview — Life Story: Growth and Readiness Scenario A 60-minute “life stor...

Behavioral & Leadership
6
0
66 people solved
Aug 4, 2025
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Shopify
Medium
Data Scientist

Implement an LRU Cache

Problem: LRU Cache (LeetCode 146) Design and implement a Least Recently Used (LRU) Cache that supports the following operations in average O(1) time. ...

Coding & Algorithms
18
0
133 people solved
Aug 10, 2025
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Shopify
Medium
Data Scientist

Calculate Week-over-Week Revenue Change Using SQL

transactions +----+---------+---------+------------+ | id | user_id | revenue | order_date | +----+---------+---------+------------+ | 1 | 101 | ...

Data Manipulation (SQL/Python)
96
0
338 people solved
Aug 4, 2025
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Shopify
Medium
Data Scientist

Identify Pirate-Themed Custom Themes Using Jaccard Similarity

Scenario Engineering receives two lists and must identify custom themes that look like Pirate themes. Question a) Write a Python function that compute...

Coding & Algorithms
2
0
17 people solved
Aug 4, 2025
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Shopify
Medium
Data Scientist

Analyze Pirate Theme Usage Growth Over Time

themes +----+--------------+-----------+ | id | name | is_pirate | +----+--------------+-----------+ | 1 | Pirate Red | true | | 2 | ...

Data Manipulation (SQL/Python)
1
0
5 people solved
Aug 4, 2025
Shopify logo
Shopify
Medium
Data Scientist AI

Analyze Pirated Theme Usage Impact

An e-commerce platform lets shops install marketplace themes. Some themes are paid, and a shop should have a valid purchase/license before using a pai...

Data Manipulation (SQL/Python)
7
0
41 people solved
Apr 28, 2026
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Shopify
Medium
Machine Learning Engineer AI

Implement URL Shortening Codec

Implement a small in-memory URL-shortening component in a pair-programming interview. Expose two methods: shorten(long_url: str) -> str, which returns...

Coding & Algorithms
0
0
3 people solved
Apr 1, 2026
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Shopify
Medium
Machine Learning Engineer AI Locked

Simulate a rover fleet

This question evaluates skills in simulation design, state management, grid-based movement logic, and handling constraints such as obstacles, boundari...

Coding & Algorithms
2
0
31 people solved
Mar 1, 2026
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Shopify
Easy
Data Engineer Locked

Write SQL for session analytics

This question evaluates SQL proficiency and data engineering competencies, including deduplication, joins, time-series aggregation, rolling-window cal...

Coding & Algorithms
20
0
179 people solved
Jan 17, 2026
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Shopify
Hard
Data Scientist

Calculate Pirated Usage and Revenue Loss

You are analyzing theme piracy on an e-commerce platform. Assume the analysis window is 2023-01-01 through 2023-12-31, all timestamps are stored in UT...

Data Manipulation (SQL/Python)
14
0
141 people solved
Jan 12, 2026
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Shopify
Easy
Software Engineer

Implement a multi-rover Mars controller

Problem Build a small command-line “Mars Rover Controller” program. Single rover (v1) A rover starts at coordinate (0, 0) on an infinite 2D grid and i...

Coding & Algorithms
34
0
383 people solved
Dec 23, 2025
Shopify logo
Shopify
Medium
Data Scientist

Calculate Jaccard Similarity Score for Two String Lists

Scenario During pair programming, the interviewer asks you to compare two lists of merchant tags and quantify their similarity. Question Implement a P...

Coding & Algorithms
11
0
148 people solved
Aug 4, 2025
Shopify logo
Shopify
Medium
Data Scientist

Determine Growth of Pirated Theme Installations Over Years

merchants +-------------+------------+ | merchant_id | join_date | +-------------+------------+ | 1 | 2020-01-02 | | 2 | 2020-03-...

Data Manipulation (SQL/Python)
1
0
8 people solved
Aug 4, 2025

Frequently Asked Questions

How difficult are these 82 Shopify interview questions and what level of candidate should they target?
These 82 Shopify interview questions span junior through senior expectations but skew towards mid and senior levels because they include end-to-end design, production-focused ML and analytics, and systems problems. Expect a mix of algorithmic coding, systems thinking, product-metric framing, and statistical rigor. Difficulty often comes from combining concrete implementation (LRU cache, SQL session analytics, rover simulations) with product measurement and stakeholder tradeoffs. If you routinely solve medium-to-hard coding problems, design services at scale, and translate analytics into business impact, these questions will match your level and push areas where experience matters most.
What is the typical Shopify interview process and where do the roles and categories in these 82 questions get evaluated?
Shopify interview loops commonly start with a recruiter screen and a Life Story or pre-read presentation, then move to technical rounds that may include pair programming, take-homes, and a blended panel. Software engineering questions (coding, caches, URL shorteners) appear in pair programming and coding rounds. Data Scientist and ML Engineer questions surface across pre-reads, technical deep dives, and onsite panels where product metrics, experiments, fraud detection, and model design are assessed. Data Engineering questions are usually evaluated in a data round focused on SQL and pipeline robustness. Expect behavioral evaluation through the Life Story and panel debriefs.
How should I structure a preparation timeline to cover these 82 Shopify interview questions before a final onsite or remote loop?
Start with a six-week plan: weeks one to two reinforce fundamentals—algorithms, data structures, SQL, and statistics. Weeks three and four focus on role-specific patterns: for data scientists practice product-metric cases, funnels, experiment design, and piracy revenue calculations; for ML engineers emphasize fraud models, hierarchical classification, label collection strategies, and prediction pipelines; for engineers practice system design and caching problems; week five do timed pair-programming mocks and whiteboard designs; week six rehearse Life Story, present pre-reads, and run full mock loops. Space review and rest days to avoid burnout.
Which technical subtopics appear most often across Data Scientist, ML Engineer, Software Engineer, and Data Engineer questions in this 82-question set?
Recurring themes vary by role. Data Scientists get product-metric measurement, piracy and App Store funnel analysis, experiment design, BI stack hardening, and impact storytelling. Machine Learning Engineers face fraud detection, hierarchical product classification, delivery-time prediction, search autocomplete ML, label collection without ground truth, and simulated rover fleet control, plus capacity-bounded and LRU cache implementations. Software Engineers repeatedly see cache systems, multi-rover controllers, URL shorteners, and system design for lending/returns and gift assignment. Data Engineering centers on session analytics SQL and pipeline correctness and performance.
What standout preparation tips and common pitfalls should I watch for when practicing these Shopify interview questions?
Prioritize clear problem scoping and business-aligned assumptions; many Shopify interviews evaluate whether you translate technical tradeoffs into product impact. Practice articulating metrics, edge cases, and data-quality risks when answering analytics and DS problems. For coding and systems questions, write simple correct code first, then optimize and explain complexity. Avoid overfitting to textbook answers: interviewers value pragmatic reliability, observability, and maintainability. Common pitfalls include ignoring stakeholder alignment, skipping test cases, and failing to justify data and label assumptions in ML problems. Close with concise tradeoff summaries and next steps.

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