Snapchat vs eBay: Interview Question Comparison

When preparing for technical interviews, company-specific question patterns reveal what each organization prioritizes in their engineering hiring. Snapchat and eBay, while both testing core computer science fundamentals, present distinct profiles in terms of question volume, difficulty distribution, and topical focus. Understanding these differences allows you to allocate your study time more strategically.

Question Volume and Difficulty

The most immediate difference is scale. Snapchat's list, at 99 questions, is significantly larger than eBay's 60. This suggests a broader set of problem patterns or a more extensive historical record to review.

The difficulty breakdown is more telling:

• Snapchat (E6/M62/H31): The distribution is heavily weighted toward Medium (62%) and Hard (31%) problems, with only 6% tagged as Easy. This profile indicates an interview process that aggressively tests complex problem-solving and optimization.
• eBay (E12/M38/H10): The balance is more moderate. While Medium problems dominate (38%), there is a notable portion of Easy questions (12%) and a much smaller slice of Hard problems (10%). This suggests a process that strongly assesses foundational competency, with advanced problem-solving reserved for specific roles or later stages.

In short, Snapchat's interview leans toward depth and complexity, while eBay's covers breadth with a stronger focus on core concepts.

Topic Overlap

Both companies heavily emphasize the most fundamental data structures, as seen in their shared top topics: Array, String, and Hash Table. Mastery of these is non-negotiable for either interview.

The key differentiators lie in the unique topics:

• Snapchat explicitly lists Breadth-First Search (BFS). This points to a clear expectation of proficiency in graph and tree traversal algorithms, often applied in problems involving shortest paths, level-order traversal, or social network-style adjacency (fitting for a social messaging app).
• eBay uniquely lists Sorting. This highlights an emphasis on algorithms that organize data, handle comparisons, and enable efficient search—skills critical for an e-commerce platform dealing with product catalogs, auctions, and user rankings.

The overlap means a strong foundation in arrays, strings, and hash maps will serve you for both. However, you must tailor your deep-dive: practice graph-based BFS problems for Snapchat, and master various sorting algorithms and their applications for eBay.

# Example: BFS for a graph (Snapchat-relevant)
from collections import deque

def bfs(graph, start):
    visited = set([start])
    queue = deque([start])
    while queue:
        node = queue.popleft()
        print(node)  # Process node
        for neighbor in graph[node]:
            if neighbor not in visited:
                visited.add(neighbor)
                queue.append(neighbor)

# Example: Custom Sorting (eBay-relevant)
items = [{"name": "itemA", "price": 50}, {"name": "itemB", "price": 30}]
# Sort by price ascending
items.sort(key=lambda x: x["price"])

Which to Prepare for First

Your preparation order should be guided by your target role and timeline.

If your goal is to pass both, start with eBay. Its focus on foundational topics (Array, String, Hash Table) and lower proportion of Hard problems provides a more manageable on-ramp. Mastering these core areas will build the essential skills required for any technical interview, including Snapchat's. You can then layer on the more advanced graph algorithms (BFS) and tackle a higher volume of Medium/Hard problems to meet Snapchat's bar.

If you are specifically targeting Snapchat, you must begin with their core topics but immediately incorporate significant practice on graph traversal and complex problem decomposition. The high volume of Hard problems means you cannot afford to neglect advanced pattern recognition and optimization techniques.

Regardless of the order, use the shared foundation to your advantage. Drill problems on arrays, strings, and hash tables until your solutions are optimal and bug-free. This core competency is the bridge between both company's question sets.

For focused practice, visit the company pages: Snapchat Questions and eBay Questions.