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Software Engineer Interview Questions
Practice 9403 coding, system design and machine learning questions from 546 companies, sorted by role, topic and interview round. Every question has step-by-step hints, a code runner that supports 8 languages and an AI mentor; members also get the full solution walkthrough.
- 9403
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- 546
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- 11
- Topics
- 8
- Languages
Showing 1–18 of 18 results
- AffirmMediumSoftware EngineerImplement and debug event filtering in Python
This question evaluates proficiency in data manipulation and algorithmic reasoning in Python, covering event filtering, stable sorting, deduplication by identifier, timestamp windowing, and analysis of time and space complexity.
Data Manipulation (SQL/Python)Onsite - Applied IntuitionMediumSoftware EngineerImplement a nested object validator
This question evaluates proficiency in nested data validation, schema interpretation, and type checking for hierarchical objects, including handling nulls, arrays, extra fields, and clear error reporting.
Data Manipulation (SQL/Python)Onsite - CoinbaseMediumSoftware EngineerCompute delivery metrics and top-K queries
Compute delivery metrics and top-K queries evaluates SQL or pandas logic, joins, grouping, window functions, null handling, edge cases, and validation in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Data Manipulation (SQL/Python)Onsite - CoinbaseMediumSoftware EngineerImplement filters and cursor pagination
This question evaluates a candidate's ability to design and implement cursor-based pagination, conjunctive per-field filtering, stable sort key selection, API surface design, and complexity analysis for a database-backed transaction query module.
Data Manipulation (SQL/Python)Onsite - DoorDashMediumSoftware EngineerCompute dasher pay from deliveries
This question evaluates competency in data manipulation, schema design and validation, time-based aggregation, pay-computation logic, and handling of edge cases using SQL or Python.
Data Manipulation (SQL/Python)Onsite - DoorDashMediumSoftware EngineerCompute dasher payout from API data
This question evaluates a candidate's proficiency in data manipulation and transaction aggregation using SQL or Python, encompassing time-zone-aware timestamp handling, pagination, late or missing events, cancellations and negative adjustments, rounding rules, and itemized breakdowns.
Data Manipulation (SQL/Python)Onsite - InstacartMediumSoftware EngineerImplement a pivot table transformation
This question evaluates competency in data transformation and aggregation, specifically pivot operations, time-based grouping, null handling, dimensionality reduction (top‑K/OTHER), scalability for large datasets, and expressing solutions in both Python (pandas or pure) and SQL within the Data Manipulation (SQL/Python) domain.
Data Manipulation (SQL/Python)Onsite - InstacartMediumSoftware EngineerPivot data without date libraries
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)).
Data Manipulation (SQL/Python)Onsite - InstacartMediumSoftware EngineerPivot transactions by date without date libs
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.
Data Manipulation (SQL/Python)Onsite - Marshall WaceMediumSoftware EngineerFind users with multi-country successful logins
This question evaluates proficiency in relational data manipulation, text normalization, aggregation, deduplication, and sorting within the Data Manipulation (SQL/Python) domain, focusing on practical query-writing and data-processing skills.
Data Manipulation (SQL/Python)Onsite - MetaMediumSoftware EngineerSet up a Python interview environment
This question evaluates proficiency in Python development environment setup, including dependency and virtual environment management, secure handling of environment variables for secrets, tooling for rapid feedback, reproducibility practices, and basic service scaffolding.
Data Manipulation (SQL/Python)Onsite - MicrosoftMediumSoftware EngineerCount words in a document robustly
This question evaluates text-processing and algorithmic engineering skills, specifically precise tokenization rule definition, robust handling of Unicode and punctuation, streaming/large-file processing, unit testing for corner cases, and analysis of time and space complexity.
Data Manipulation (SQL/Python)Onsite - MotiveMediumSoftware EngineerFetch and parse JSON from REST API
A Motive Software Engineer onsite coding exercise: build a small, resilient script from scratch that performs an authenticated HTTP GET against a paginated REST API, parses the JSON, extracts and transforms records, and produces both serialized CSV/JSON output and per-category top-k aggregates. It evaluates HTTP/REST integration, rate-limit and retry handling with backoff, timeouts, malformed-record handling, unit testing, logging, and complexity analysis.
Data Manipulation (SQL/Python)Onsite - NVIDIAMediumSoftware EngineerAnalyze and debug Python utilities
This interview question evaluates SQL or pandas logic, joins, grouping, window functions, null handling, edge cases, and validation in a realistic interview setting. A strong answer for Analyze and debug Python utilities states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Data Manipulation (SQL/Python)Onsite - OracleMediumSoftware EngineerParse logs and query by time
This question evaluates competency in parsing and structuring log lines, interpreting timestamps and time zones, handling malformed input, designing insert/query APIs, reasoning about scalability and indexing, performing time/space complexity analysis, and planning basic tests.
Data Manipulation (SQL/Python)Onsite - OracleMediumSoftware EngineerRank Departments by Student Count
Tests SQL proficiency in outer joins, aggregation with null handling, and deterministic multi-column sorting.
Data Manipulation (SQL/Python)Onsitesqlleft-joingroup-by - ScribdMediumSoftware EngineerMany-to-Many Schema Design With a Join Table, Composite Primary Key, and Queries
Design a relational schema modeling a many-to-many relationship between documents and tags using a join table with a composite primary key, index both lookup directions, and write queries handling outer joins and relational division.
Data Manipulation (SQL/Python)OnsiteSQLDatabase DesignPostgreSQL - ScribdMediumSoftware EngineerMost Popular Actors Query When Object IDs Mix Movies and People With Multiple Roles
A data query question about ranking the most popular actors when an object ID can refer to either a movie or a person, and one person can hold several roles in the same movie. It tests clarifying the popularity metric, filtering to actor credits, deduplicating person and movie pairs, checking object types, and defining a tie policy.
Data Manipulation (SQL/Python)Onsite
Affirm
Applied Intuition
Coinbase
DoorDash
Instacart
Meta
Microsoft
Motive
NVIDIA
Oracle