DoorDash vs Expedia: Interview Question Comparison

When preparing for technical interviews at major tech companies, understanding the specific patterns and expectations of each employer is crucial. DoorDash and Expedia, while both prominent in the tech industry, present distinct interview landscapes. DoorDash's process is heavily weighted towards algorithmic problem-solving, reflecting its complex logistics and mapping systems. Expedia's interviews, while still technical, show a greater emphasis on foundational data structures and practical problem-solving, aligning with its travel and e-commerce platform. This comparison breaks down the key differences in question volume, difficulty, and topic focus to help you strategize your preparation.

Question Volume and Difficulty

The data reveals a significant disparity in both the number of documented questions and their perceived difficulty.

DoorDash has a larger, more challenging question bank with 87 questions. The difficulty distribution is 30 Easy, 51 Medium, and 30 Hard. This high volume, coupled with a substantial portion (over 34%) being Hard problems, indicates an interview process that rigorously tests advanced algorithmic thinking and optimization. Candidates should expect multi-layered problems that may combine several concepts.

Expedia has a smaller, more moderate question bank of 54 questions. The difficulty distribution is 13 Easy, 35 Medium, and only 6 Hard. This suggests an interview that focuses heavily on core competency with Medium-level problems (nearly 65% of the total). The presence of very few Hard problems implies that while you must be proficient, you are less likely to encounter the most extreme optimization challenges typical at pure-play tech giants.

Topic Overlap

Both companies heavily test fundamental data structures, but with different secondary emphases.

The core overlapping topics are Array, String, and Hash Table. Mastery of these is non-negotiable for either interview. You must be adept at string manipulation, two-pointer techniques, sliding windows, and leveraging hash maps for efficient lookups.

# Example: A common overlapping pattern - Two Sum using Hash Table
def two_sum(nums, target):
    seen = {}
    for i, num in enumerate(nums):
        complement = target - num
        if complement in seen:
            return [seen[complement], i]
        seen[num] = i
    return []

The key divergence is in the secondary focus:

• DoorDash prominently features Depth-First Search (DFS). This aligns with problems involving tree/graph traversal, pathfinding, and backtracking—all relevant to its delivery routing and mapping systems.
• Expedia prominently features Greedy algorithms. This aligns with optimization problems common in scheduling, resource allocation, and making a series of optimal local choices, which are relevant to travel itinerary planning and pricing.

Which to Prepare for First

Your preparation priority should be dictated by your target company and timeline.

If your goal is general interview readiness or you are interviewing with Expedia first, start there. The smaller question bank and focus on Medium-difficulty problems on core topics (Array, String, Hash Table, Greedy) provide a strong, manageable foundation. Mastering these will build the essential skills needed for most technical interviews.

If your goal is to pass DoorDash interviews, you must prepare for DoorDash specifically and early. The larger volume and higher difficulty require dedicated time. After solidifying the shared core topics (Array, String, Hash Table), you must prioritize Depth-First Search (DFS) and advanced graph/tree problems. The Hard problems are a significant part of their process, so practice under time constraints is critical.

Strategy: Build a foundation with Expedia's core list, then layer on DoorDash's advanced graph and optimization challenges. This approach ensures you are well-rounded and can tackle the increased rigor of a DoorDash interview.

For detailed question lists and patterns, visit the company pages: DoorDash Interview Questions and Expedia Interview Questions.