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DoorDash Coding Interview Questions

32 DoorDash coding interview problems with full optimal solutions — 3 easy, 21 medium, 8 hard. Every problem ships with multiple approaches (brute-force first, then the optimal), complexity tables for each, company-specific tips on what an DoorDash interviewer values, and a FAQ section.

Showing 8 problems of 32

  • #31hardfoundational

    31. Sliding Window Maximum

    Return the maximum value in each sliding window of size k — Doordash uses this deque pattern in their real-time demand forecasting: finding peak order rates over every rolling k-minute window to trigger Dasher surge dispatch.

  • #32hardfoundational

    32. Median of Two Sorted Arrays

    Find the median of two sorted arrays in O(log(m+n)) — Doordash uses binary-search-on-sorted-partition thinking in their real-time delivery ETA percentile calculations that must run in microseconds across millions of rows.

  • #42hardcompany favorite

    42. Trapping Rain Water

    Given an elevation map, compute how much rainwater would be trapped. DoorDash uses this as a hard-end array problem — they want the two-pointer O(1) space optimization, not just the precomputed-max arrays version.

    3 free resourcesSolve →
  • #127hardfrequently asked

    127. Word Ladder

    Find the shortest transformation sequence from beginWord to endWord, changing one letter at a time and using only words in the dictionary. DoorDash leans on this for the BFS-on-implicit-graph pattern — they want to see the wildcard-key optimization on the adjacency lookup.

    3 free resourcesSolve →
  • #212hardfrequently asked

    212. Word Search II

    Given a board and a list of words, return all words that can be formed by traversing adjacent cells. DoorDash uses this as a Trie + DFS combination — they want the trie-traversal speedup that beats naive per-word DFS.

    3 free resourcesSolve →
  • #218hardfrequently asked

    218. The Skyline Problem

    Given a list of buildings (left, right, height), return the skyline as key points. DoorDash uses this for senior infrastructure rounds — the sweep-line + max-heap pattern shows up in surge-pricing and capacity-window problems.

    3 free resourcesSolve →
  • #857hardfrequently asked

    857. Minimum Cost to Hire K Workers

    Hire exactly k workers so that each is paid at least their min-wage AND in proportion to their quality. Minimize total cost. DoorDash uses this for senior backend rounds — the dispatch and pricing problems have the same shape.

    3 free resourcesSolve →
  • #1192hardfrequently asked

    1192. Critical Connections in a Network

    Given an undirected graph, return all bridges — edges whose removal disconnects the graph. DoorDash uses Tarjan's bridge-finding algorithm because logistics networks need to identify single points of failure in their routing infrastructure.

    3 free resourcesSolve →

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DoorDash Coding Interview Questions — Full Solutions — InterviewChamp.AI