Katkat

Company

Shopify interview questions

63 practice questions in the style of Shopify's interviews, covering Analytics & Experimentation, Data Manipulation (SQL/Python), Behavioral & Leadership, Software Engineering Fundamentals, Machine Learning, Coding & Algorithms, System Design, ML System Design, Statistics & Math.

Questions63

10 easy48 medium5 hard

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Shopify interview questions by the numbers

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Katkat has 63 Shopify interview questions. The largest topics are Coding & Algorithms (29%), Behavioral & Leadership (19%) and Analytics & Experimentation (11%). By difficulty: 16% easy, 76% medium and 8% hard. The most common round is Technical Screen (60%). Frequent concepts include Data Structures, Algorithms, arrays and Cache.

Difficulty

  • Easy16% · 10
  • Medium76% · 48
  • Hard8% · 5

Interview rounds

  • Technical Screen60% · 38
  • Onsite33% · 21
  • HR Screen6% · 4

Roles

  • Data Scientist41% · 26
  • Machine Learning Engineer27% · 17
  • Software Engineer27% · 17
  • Data Engineer5% · 3

Frequent concepts

  • Data Structures5% · 3
  • Algorithms3% · 2
  • arrays3% · 2
  • Cache3% · 2
  • Concurrency3% · 2
  • Data Cleaning3% · 2

Showing 31–60 of 63 results

  • This question evaluates proficiency in time-series anomaly detection, conversion-rate analysis, data quality handling (especially parsing and validating week labels), segmentation by shop type and session-duration buckets, and causal reasoning about traffic composition effects.

    ShopifyData ScientistAnalytics & ExperimentationOnsite
  • A behavioral round for engineering managers that asks you to tell your management story through concrete examples. It tests the impact you drove through teams, how you kept the engineering quality bar high under pressure, how you handled underperformance, and how you grew people into larger roles.

    ShopifySoftware EngineerBehavioral & LeadershipOnsite
  • This question evaluates communication, leadership, stakeholder management, career narrative construction, and compensation/logistics transparency, with emphasis on concise self-presentation, project impact articulation, cross-functional collaboration, and cultural alignment for a software engineering role.

    ShopifySoftware EngineerBehavioral & LeadershipHR Screen
  • This question evaluates motivation, role alignment, and communication skills by asking a candidate to explain interest in the employer, educational choices, and career motivations as they relate to a Machine Learning Engineer role.

    ShopifyMachine Learning EngineerBehavioral & LeadershipHR Screen
  • This question evaluates a candidate's ability to communicate career narrative, motivations, role-specific experiences, transitions, and logistical details such as work authorization and compensation, reflecting competencies in professional communication, self-awareness, and succinct storytelling for a Machine Learning Engineer role.

    ShopifyMachine Learning EngineerBehavioral & LeadershipHR Screen
  • This question evaluates a candidate's ability to narrate career progression, demonstrate leadership and ownership, articulate technical decisions and trade-offs, and show production-grade machine learning engineering through a flagship-project deep dive that includes problem definition, business impact, ownership, and success metrics.

    ShopifyMachine Learning EngineerBehavioral & LeadershipTechnical Screen
  • Implement a 2D grid simulation for an automated warehouse robot executing movement and rotation commands while respecting boundaries and obstacles.

    ShopifySoftware EngineerCoding & AlgorithmsTechnical Screen
  • This problem tests the ability to scale and harden a simple in-memory cache service, focusing on operational stability, concurrency control, and safe deployment patterns.

    ShopifySoftware EngineerSoftware Engineering FundamentalsTechnical Screen
  • This question evaluates software engineering competencies such as code review, correctness and edge-case reasoning, API design and readability, test strategy, maintainability and extensibility, and performance and failure-mode analysis within the Software Engineering Fundamentals domain.

    ShopifySoftware EngineerSoftware Engineering FundamentalsTechnical Screen
  • This question evaluates understanding of similarity scoring, set-based comparison of structured records, and practical data deduplication techniques commonly used in data science.

    ShopifyData ScientistCoding & AlgorithmsTechnical Screen
  • This question evaluates understanding of vector-space similarity and text representation by asking for a cosine similarity computation over string-derived vectors, testing coding and algorithmic skills relevant to data science and text processing.

    ShopifyData ScientistCoding & AlgorithmsTechnical Screen
  • This question evaluates understanding of hashing, encoding, state management, and collision-handling strategies for creating a consistent mapping between long and short URLs, testing competencies in data structures, algorithms, and simple system design within the Coding & Algorithms domain.

    ShopifyMachine Learning EngineerCoding & AlgorithmsOnsite
  • This question tests the ability to implement a Least Recently Used (LRU) cache, requiring efficient O(1) time complexity for both data retrieval and insertion through the combination of a hash map and a doubly linked list.

    ShopifyMachine Learning EngineerCoding & AlgorithmsTechnical Screen
  • This question evaluates a candidate's ability to implement stateful command parsing, entity management for multiple rovers, and collision-avoidance on an unbounded 2D grid, emphasizing deterministic simulation, input/output specification, and robust handling of invalid operations.

    ShopifySoftware EngineerCoding & AlgorithmsTechnical Screen
  • Implement an in-memory file system with absolute and relative path resolution, sorted listing, directory changes, creation, and removal. Enforce deterministic error codes, atomic validation, recursive deletion rules, and protection for the current directory and its ancestors.

    ShopifySoftware EngineerCoding & AlgorithmsOnsite
  • This question tests the ability to combine a hash map and a doubly linked list to achieve constant-time performance for cache operations.

    ShopifyData ScientistCoding & AlgorithmsTechnical Screen
  • This question evaluates object-oriented design, command-line interface implementation, persistent state management, input validation and error logging, extensibility for new commands, comprehensive unit testing, and continuous integration configuration.

    ShopifyMachine Learning EngineerCoding & AlgorithmsOnsite
  • This two-part exercise evaluates a candidate's competence in designing efficient in-memory data structures with correct eviction semantics (bounded LRU cache with amortized O(1) operations) and in implementing randomized permutation algorithms and input/output handling for derangement-based Secret Santa assignments from CSV input.

    ShopifySoftware EngineerCoding & AlgorithmsTechnical Screen
  • This question evaluates mathematical reasoning, sequence inference, and pattern-recognition competency by asking the solver to identify governing rules and justify missing terms across numeric sequences and a small grid.

    ShopifyData ScientistCoding & AlgorithmsTechnical Screen
  • This question evaluates proficiency in product analytics, instrumentation design, experimentation planning, and funnel-level diagnostic analysis for an app marketplace, and falls squarely in the Analytics & Experimentation domain for data scientist roles.

    ShopifyData ScientistAnalytics & ExperimentationTechnical Screen
  • This question evaluates the ability to design time-based usage metrics and compute monthly revenue through data manipulation using SQL or Python, focusing on aggregating event and transaction records by calendar month.

    ShopifyData ScientistData Manipulation (SQL/Python)Technical Screen
  • This question evaluates a data scientist's competency in product-metrics design for a multi-sided app marketplace, including defining a north-star metric, per-side success and guardrail metrics, required dataset schemas and join keys, and criteria for evaluating ranking/search/recommendation experiments.

    ShopifyData ScientistAnalytics & ExperimentationOnsite
  • This question evaluates understanding of end-to-end machine learning ranking systems, including label definition, feature engineering, model selection, training strategies, and offline/online evaluation.

    ShopifyMachine Learning EngineerMachine LearningOnsite
  • This problem tests string parsing, data validation, and algorithm design by requiring the implementation of a secret-santa style matching system from unstructured CSV data.

    ShopifySoftware EngineerSoftware Engineering FundamentalsTechnical Screen
  • This question evaluates mental arithmetic, rapid estimation, numerical bounds, and familiarity with exponentials and square-root approximations within the Statistics & Math category for a Data Scientist role.

    ShopifyData ScientistStatistics & MathTechnical Screen
  • This question evaluates a candidate's ability to interpret time-series analytics and revenue-impact estimates, reason about measurement biases and censoring, and communicate ambiguous statistical findings to product stakeholders.

    ShopifyData ScientistAnalytics & ExperimentationTechnical Screen
  • This question tests the ability to design a distributed system that manages real-time state consistency across a massive, sharded spatial grid while handling concurrency and robot movement.

    ShopifySoftware EngineerSystem DesignTechnical Screen
  • This problem tests your ability to manage state in a 2D grid simulation, coordinate multiple entities with movement logic, and enforce collision-avoidance constraints.

    ShopifyMachine Learning EngineerCoding & AlgorithmsTechnical Screen
  • This question evaluates incremental system design, agent state management on a bounded grid, and algorithmic complexity for processing movement commands in the Coding & Algorithms domain.

    ShopifySoftware EngineerCoding & AlgorithmsTechnical Screen
  • A senior engineering interview round in which you present a system you designed or led, using a diagram prepared in advance, and then defend it under questioning. It tests how you frame the problem and your ownership, explain key decisions and their alternatives, discuss failures honestly, and go deep on any component.

    ShopifySoftware EngineerSystem DesignOnsite

Shopify interview experiences

All 20 →
  • AI-Encouraged Pair Programming on an Auto-Refund System, Failed the Next DayShopify · Machine Learning Engineer · Technical Screen · Sep 2026
    Rejected

    I got the interview through a referral. The recruiter emphasized that it's pair programming and that using AI is very much encouraged. It's 75 minutes, and at the start the interviewer shares a repo with the problem statement and the actual questions in it. The problem was to write an auto refund system based on the requirements. It's not LeetCode style, more like a mix of mini system design + co…

  • AI-Assisted Coding Rounds and a Manager Track Moved to ICShopify · Software Engineer · Senior+ · Onsite · Aug 2026
    Offer

    I'm about to start at Shopify as a Senior SWE, and I genuinely enjoyed how their interview process worked. Two coding rounds where AI help is allowed. One was the screen and the other sat inside the onsite. You can work in your own IDE on your own laptop. I went with VS Code and Claude Sonnet, which felt slightly quicker than Opus and gave me results just as good. One technical deep dive. Draw yo…

  • Shopify Data Scientist interview: guided SQL and Python screeningShopify · Data Scientist · Technical Screen · Jul 2026

    About a week after I applied, HR contacted me. The first interview lasted 30 minutes and covered behavior, background, experience, and fit. Soon after, I had a one-hour technical screen with a team member split between SQL and Python. Before each round, Shopify sent a detailed PDF guide. That made preparation feel less like guessing because I knew what they were measuring. The recruiter also expl…

  • Shopify Software Engineer interview with pair programming, AI use, and a life-story roundShopify · Software Engineer · Online Assessment · Jul 2026

    I started with a resume submission. Once my application passed, I moved into an online assessment. The format varied, but it consistently combined several coding problems with a cognitive or IQ-style component and a culture-fit questionnaire. After that, the process moved toward the technical interview stage. My technical round was a pair-programming exercise with an OOP-flavored prompt. I had to…

  • An Onsite Design Round That Never Quite ClickedShopify · Software Engineer · Onsite · Apr 2026

    Phone screen File system question — needed to support ls/cd/add/remove. All AI-written. Heard back a day or two later that I passed. Onsite Coding: LRU, also AI-written. Didn't feel like there was a fail point there. Past project — they wanted the most recent project, so I didn't bring my most complex one, but it still had some complexity to it. Life story was pretty standard too. Design (maybe t…

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