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 1–30 of 87 results

  • Implement and test backend search, multi-attribute filtering, sorting, and pagination logic for a library lending system's items catalog.

    InstacartSoftware EngineerSoftware Engineering FundamentalsOnline Assessment
  • Tests domain modeling, queue management, and idempotent notification triggering for an event- and time-driven library lending workflow.

    InstacartSoftware EngineerSoftware Engineering FundamentalsOnline Assessment
  • This question evaluates a candidate's ability to perform time-based revenue aggregation, filtering, percent-change calculation, and geo-level attribution using SQL or Python, with attention to ISO-week alignment and revenue computation.

    InstacartData ScientistData Manipulation (SQL/Python)Technical Screen
  • This question evaluates a data scientist's skills in experimental design and statistical inference for A/B testing, revenue-impact modeling with skewed and zero-inflated metrics, segmentation for heterogeneous treatment effects, and constrained optimization to balance contribution and operational risk.

    InstacartData ScientistAnalytics & ExperimentationOnsite
  • How to answer the standard behavioral and leadership questions in an Instacart Software Engineer onsite using the STAR framework. Covers tell-me-about-yourself, end-to-end ownership, high-severity incidents, conflict and disagreement, failure and learning, tight deadlines with ambiguous requirements, prioritization, influencing without authority, process improvement, and your most impactful accomplishment — each with a quantified model answer.

    InstacartSoftware EngineerBehavioral & LeadershipOnsite
  • This problem tests your ability to manage state transitions, handle expiring reservations, and maintain consistent ledger balances across multiple accounts.

    InstacartSoftware EngineerCoding & AlgorithmsTechnical Screen
  • This question evaluates proficiency in time-based aggregations and filtering on order-level transactional data to compute weekly revenue and order counts specifically for standard delivery orders.

    InstacartData ScientistData Manipulation (SQL/Python)Technical Screen
  • Parse pipe-delimited shopping cart records to compute the total basket cost in integer cents, properly accumulating repeated SKUs and handling zero-quantity items.

    InstacartSoftware EngineerCoding & AlgorithmsOnsite
  • This question tests the ability to select and justify statistical inference methods for metrics that violate standard parametric assumptions, specifically when dealing with heavy-tailed, heteroskedastic, and zero-inflated distributions.

    InstacartData ScientistStatistics & MathOnsite
  • This question evaluates skills in scheduling and queueing algorithms, simulation of service systems, and reasoning about time and space complexity when computing average waiting times.

    InstacartSoftware EngineerCoding & AlgorithmsOnsite
  • Compute average customer waiting time evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details 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 EngineerCoding & AlgorithmsOnsite
  • This question evaluates competence in event-driven simulation, scheduling and queueing concepts, and algorithmic analysis by requiring computation of average customer waiting time for single and multiple shoppers.

    InstacartSoftware EngineerCoding & AlgorithmsOnsite
  • This question evaluates a data scientist's competency in experimental design and applied statistics, specifically power and sample‑size calculations, accounting for intra‑household clustering and design effects, sequential monitoring for peeking control, and variance‑reduction or stratified randomization to handle day‑of‑week seasonality.

    InstacartData ScientistAnalytics & ExperimentationOnsite
  • Debug a metrics endpoint whose summary is calculated before user filters are applied even though its rows are filtered correctly. Trace the data lineage, aggregate over the full matched population before pagination, preserve security scoping, and add unit and endpoint regression tests.

    InstacartBackend EngineerSoftware Engineering FundamentalsOnline Assessment
  • Debug a library application’s incomplete search and stock displays by reproducing symptoms, tracing API behavior, checking query semantics, and validating focused fixes.

    InstacartSoftware EngineerSoftware Engineering FundamentalsOnline Assessment
  • This problem tests your ability to parse and reconstruct a string based on specific numeric encoding rules, requiring careful index tracking and stack-based or recursive logic.

    InstacartSoftware EngineerCoding & AlgorithmsTechnical Screen
  • This question evaluates string parsing and manipulation skills, particularly handling nested repetition encodings and managing state when expanding bracketed substrings.

    InstacartSoftware EngineerCoding & AlgorithmsTechnical Screen
  • Describe your most complex end-to-end project evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes 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 EngineerBehavioral & LeadershipHR Screen
  • Design idempotent library notifications for upcoming and current due dates plus FIFO hold availability. Use stable business-event identities, transactional scheduling, atomic recipient claims, state rechecks, retries, reconciliation, and clear frontend distinctions among holds, offers, and checkouts.

    InstacartBackend EngineerSystem DesignOnline Assessment
  • Design asynchronous in-app availability alerts and due-date reminders with Celery, Redis, durable idempotency, versioned schedules, and crash recovery.

    InstacartSoftware EngineerSystem DesignOnline Assessment
  • This problem tests your ability to design a telemetry metric for a simulation environment, requiring you to define efficiency, implement instrumentation within existing logic, and explain how to validate the metric's accuracy.

    InstacartSoftware EngineerSoftware Engineering FundamentalsOnsite
  • This question evaluates experimental design and causal inference competencies for a two-sided marketplace pricing change, including handling network effects/interference, choice of unit of randomization and treatment markets, metric selection and diagnostics, power/MDE estimation, and operational risk assessment within the Analytics & Experimentation domain for a Data Scientist role. It is commonly asked to assess practical application of randomized and quasi-experimental methods across heterogeneous geographies and operational constraints, requiring both hands-on experimental design skills and conceptual understanding of bias, spillovers, and diagnostic metrics.

    InstacartData ScientistAnalytics & ExperimentationTechnical Screen
  • This question tests your ability to design a flexible data model for a task-assignment system, focusing on efficient lookups and state management in an in-memory environment.

    InstacartSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
  • A system design question about an inventory management service that reserves stock while customers check out. It tests how a candidate prevents overselling under concurrent updates, handles hot SKUs, manages reservation expiry and idempotency, and supports partial fulfillment of multi-item orders.

    InstacartSoftware EngineerSystem DesignOnsite
  • A system design discussion of an inventory service that reserves stock for orders, centered on reservations, concurrent updates and preventing overselling. It probes how stock and holds are modeled, how a reservation stays atomic under contention, how abandoned holds are released and how hot items scale.

    InstacartSoftware EngineerSystem DesignTechnical Screen
  • This question evaluates competency in system design, data modeling, distributed consistency, concurrency control, API design, idempotency, and scalability for backend inventory and reservation workflows.

    InstacartSoftware EngineerSystem DesignOnsite
  • This question evaluates a candidate's competency in designing inventory and distributed systems, covering stock tracking models, reservation and commit semantics, concurrency control, data modeling, API design, and real-time integrations.

    InstacartSoftware EngineerSystem DesignHR Screen
  • This question tests the ability to design a statistically rigorous A/B test, calculate sample sizes based on effect thresholds, and account for real-world constraints like seasonality and multiple comparisons.

    InstacartData ScientistAnalytics & ExperimentationOnsite
  • Design a strongly consistent micro-fulfillment (dark-store) inventory system that handles reservations, stock reconciliation, and idempotent retries, alongside a zero-downtime deployment strategy.

    InstacartSoftware EngineerSystem DesignOnsite
  • This question evaluates a candidate's ability to design a multi-tenant cloud storage system, testing competencies in API design, quota accounting, compression strategies, distributed storage architecture (partitioning, replication/erasure coding), consistency models, security, versioning, and observability.

    InstacartSoftware EngineerSystem DesignOnline Assessment

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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