Tackle Python tasks under time pressure

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Quick Overview

This question evaluates practical Python coding skills, the ability to pose clarifying questions, enumerate and reason about edge cases, produce clean readable code, and summarize time and space complexity along with a minimal test plan within a timed data engineering exercise.

Tackle Python tasks under time pressure

Company: Meta

Role: Data Engineer

Category: Data Manipulation (SQL/Python)

Difficulty: medium

Interview Round: Onsite

In a 15-minute coding round, implement a small Python function or class to solve a well-scoped problem within about 5 minutes of coding. 1) State 1–2 clarifying questions you would ask before coding. 2) Enumerate important edge cases and how your solution handles them. 3) Provide clean, readable code and explain your formatting choices. 4) Briefly describe time and space complexity and outline a minimal test plan.

Overview: This question evaluates practical Python coding skills, the ability to pose clarifying questions, enumerate and reason about edge cases, produce clean readable code, and summarize time and space complexity along with a minimal test plan within a timed data engineering exercise.

Read the full Meta Data Engineer interview experience this question came from

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Sep 6, 2025
mediumData EngineerOnsiteData Manipulation (SQL/Python)
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In a 15-minute coding round, implement a small Python function or class to solve a well-scoped problem within about 5 minutes of coding.

  1. State 1–2 clarifying questions you would ask before coding.
  2. Enumerate important edge cases and how your solution handles them.
  3. Provide clean, readable code and explain your formatting choices.
  4. Briefly describe time and space complexity and outline a minimal test plan.
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