Katkat

Company

Instacart interview questions

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

Questions87

6 easy63 medium18 hard

Your progress0/87

Instacart interview questions by the numbers

Last updated

Katkat has 87 Instacart interview questions. The largest topics are Coding & Algorithms (36%), Software Engineering Fundamentals (16%) and System Design (14%). By difficulty: 7% easy, 72% medium and 21% hard. The most common round is Onsite (47%). Frequent concepts include Data Structures, Parsing, API Design and concurrency.

Difficulty

  • Easy7% · 6
  • Medium72% · 63
  • Hard21% · 18

Interview rounds

  • Onsite47% · 41
  • Technical Screen28% · 24
  • Online Assessment15% · 13
  • HR Screen10% · 9

Roles

  • Software Engineer72% · 63
  • Data Scientist21% · 18
  • Backend Engineer3% · 3
  • Machine Learning Engineer2% · 2
  • AI Analytics Lead II1% · 1

Frequent concepts

  • Data Structures5% · 4
  • Parsing5% · 4
  • API Design3% · 3
  • concurrency3% · 3
  • Recursion3% · 3
  • Stack3% · 3

Showing 61–87 of 87 results

  • Instacart analytics prompt on investigating a 4% weekly revenue decline, covering time-series anomaly detection, seasonality, changepoints, prediction intervals, and richer-data decomposition by orders, AOV, geography, cohorts, and categories.

    InstacartData ScientistAnalytics & ExperimentationTechnical Screen
  • This question evaluates competency in marketplace analytics, causal inference, experimentation design, metric instrumentation, cohort and retention analysis, and trade-off reasoning between core business metrics and secondary signals.

    InstacartData ScientistAnalytics & ExperimentationTechnical Screen
  • This question evaluates a data scientist's ability to articulate company and product-market fit, quantify near-term impact, communicate transition logistics, and demonstrate self-awareness through managerial feedback and constraints.

    InstacartData ScientistBehavioral & LeadershipHR Screen
  • This question evaluates a data-oriented leader's ability to translate an ambiguous mandate into a measurable initiative by testing skills in problem definition, metric design, discovery and experimentation planning, stakeholder alignment, prioritization, and trade-off reasoning within a two-sided marketplace context.

    InstacartData ScientistBehavioral & LeadershipHR Screen
  • This problem tests the ability to design an extensible lending system, implement a search algorithm with concurrency constraints, and debug race conditions in a multi-threaded environment.

    InstacartSoftware EngineerSoftware Engineering FundamentalsOnline Assessment
  • Analyze variable-resolution complexity and improve stack safety, validation, cycle detection, error reporting, caching, and update consistency.

    InstacartSoftware EngineerSoftware Engineering FundamentalsOnsite
  • This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Optimize file reading and expression DFS states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    InstacartSoftware EngineerCoding & AlgorithmsHR Screen
  • This question evaluates proficiency in on-disk file I/O, streaming algorithms, offline indexing for sublinear lookups, and system-level performance considerations for validating credentials in large files.

    InstacartSoftware EngineerCoding & AlgorithmsHR Screen
  • A three-part coding exercise that parses pipe-delimited order lines with prices in cents, applies the cheapest of several percentage and buy-X-get-Y promotions per SKU, and orders products by aisle with frozen items last. It tests input validation, exact money arithmetic, extensible pricing rules and composite sorting.

    InstacartSoftware EngineerSoftware Engineering FundamentalsOnsite
  • This question evaluates proficiency in grid traversal, sequence-driven state tracking, string manipulation, and boundary/obstacle validation while requiring time and space complexity reasoning.

    InstacartSoftware EngineerCoding & AlgorithmsOnsite
  • This question evaluates file parsing, matrix indexing with a specified coordinate origin, handling multiple indexed blocks, and string assembly into an ordered password, testing competencies in file I/O, coordinate transformations, and robust input handling.

    InstacartSoftware EngineerCoding & AlgorithmsOnsite
  • A behavioral round built around a past project: walk through it, explain a significant technical trade-off and why you chose it, and describe how you handled a disagreement over a technical decision. It tests ownership, decision-making with evidence and collaboration, rewarding specific detail over general statements.

    InstacartSoftware EngineerBehavioral & LeadershipTechnical Screen
  • This question evaluates a candidate's competency in data manipulation and transformation, specifically pivoting tall datasets into wide views, handling missing metric values, ordering ISO date strings via string operations, and meeting algorithmic efficiency constraints (O(n log n)).

    InstacartSoftware EngineerData Manipulation (SQL/Python)Onsite
  • This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Pivot order-status counts states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    InstacartSoftware EngineerCoding & AlgorithmsOnsite
  • This question evaluates proficiency in data manipulation, string-based date handling, aggregation and pivot transformations, along with reasoning about data structures, de-duplication and missing-value filling.

    InstacartSoftware EngineerData Manipulation (SQL/Python)Onsite
  • This question evaluates a data scientist's competency in budget allocation, experimental design, KPI definition, segmentation, and causal inference by requiring translation of SQL-derived spend and profitability insights into constrained program- and advertiser-level budget rules while managing concentration risk.

    InstacartData ScientistAnalytics & ExperimentationTechnical Screen
  • Design a high-throughput inventory reservation system that locks stock when items are added to a cart, prevents overselling during flash promotions, handles automatic reservation expiration, and scales seamlessly under a 10x traffic spike.

    InstacartSoftware EngineerSystem DesignOnsite
  • Resolve a target variable through an acyclic chain of named assignments until reaching an integer literal, independent of definition order.

    InstacartSoftware EngineerCoding & AlgorithmsOnsite
  • A senior-level behavioral round covering four themes: a project deep dive, mentoring another engineer, a significant technical trade-off, and a disagreement with a colleague or manager. It tests ownership, depth on decisions, influence without authority and honest reflection on outcomes.

    InstacartSoftware EngineerBehavioral & LeadershipOnsite
  • A practical coding exercise that parses shopping-cart item records and reports the total item count and price, then adds percentage discounts and buy-N-get-M-free offers, applying the cheapest offer per product. A final part orders items by aisle with frozen items last, testing parsing, exact money arithmetic and extensible code.

    InstacartSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
  • This question evaluates queue and priority handling, stable ordering, capacity accounting, constraint handling for wheelchair riders, and the ability to design unit tests and articulate trade-offs within the Software Engineering Fundamentals category.

    InstacartSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
  • This problem tests your ability to efficiently merge and find elements in sorted arrays, focusing on optimal time complexity and edge case handling.

    InstacartMachine Learning EngineerCoding & AlgorithmsTechnical Screen
  • This interview question evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer for Solve bank, password, expression algorithm tasks states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    InstacartSoftware EngineerCoding & AlgorithmsOnsite
  • This question evaluates a candidate's ability in parsing, expression evaluation, and nested string decoding, including handling malformed input, character encoding nuances, and large-file streaming considerations.

    InstacartSoftware EngineerCoding & AlgorithmsOnsite
  • Clarify percentage and buy-x-get-y pricing rules, then reason about the cheapest legal discount combination, quantity thresholds, interactions, and rounding.

    InstacartSoftware EngineerSoftware Engineering FundamentalsOnsite
  • Troubleshoot a production incident end-to-end evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

    InstacartSoftware EngineerSystem DesignOnsite
  • This question evaluates a candidate's ability to perform ANSI SQL data transformations including unpivoting denormalized tables, aggregations, joins, and financial metric calculations such as net profit and profit margin while handling nulls and tie-breaking rules.

    InstacartData ScientistData Manipulation (SQL/Python)Technical Screen

Instacart interview experiences

All 22 →
  • Two Coding Rounds, System Design on Inventory, Waiting on ResultsInstacart · Software Engineer · Onsite · Oct 2026
    In progress

    While preparing I kept grinding system design, and it turned out my coding wasn't as fast as I thought it would be. One round was "Calculate Equation Expression": you're given a set of variable assignments and have to compute the value of a specified variable. Part one: the right-hand side is either a number or another variable, so you just recurse down. Part two adds addition and subtraction, an…

  • A 90-Minute AI-Assisted OA and Next-Day RejectionInstacart · Software Engineer · Online Assessment · Sep 2026
    Rejected

    I took the Instacart Full-Stack Engineer Assessment on Codesignal on September, after referred by an employee of the company. It was similar to what posted in the platform here: 5 questions, 90 minutes. Two questions involved chatting with the AI to get the requirements. Two AI assisted Coding with Claude Code, and One bug fixing question withouot AI. There was a tab that showed the live results…

  • A Full-Stack CodeSignal Challenge With No Tests to Check My WorkInstacart · Software Engineer · Online Assessment · Sep 2026
    Rejected

    I recently completed an Instacart CodeSignal assessment that was very different from the usual LeetCode-style rounds. It was a full-stack repository-based assessment, and some sections required me to have conversations with an AI "Product Manager" before making changes. Very annoying. Because unlike other CodeSignal rounds there are no tests to test against!! So I had no idea how well I did and u…

  • AI Debugging and Unclear Coding AssumptionsInstacart · Software Engineer · Onsite · Sep 2026
    Rejected

    The author reports an unsuccessful Instacart backend interview process involving CodeSignal assessments and human-led coding. The first onsite segment included a 90-minute library-application exercise and two hour-long coding interviews. AI was available for the application task, but only to explain code and help localize bugs, not to provide direct fixes. The author says the required changes ult…

  • Fast Coding and a Difficult Bar RaiserInstacart · Software Engineer · Senior+ · Onsite · Sep 2026
    Rejected

    The virtual onsite had two coding rounds, one design round, and one bar-raiser round. The coding questions were ones from interview reports, and easier than the versions on the forum. I breezed through both. For the calculate-expression question, the interviewer said in part two that there would always be spaces around the +, =, and - signs, so parsing was straightforward. In part three, the only…

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