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Disney·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Jun 2026

Summary

Had a technical screen for a Data Engineer role at Disney. The coding problem was a classic recursion/backtracking question on generating balanced parentheses, which felt a bit unexpected for a data engineering position but not the hardest thing in the world.

Questions Asked (1)

Q1

Given an integer n representing the number of parenthesis pairs, write a function that generates all valid, well-formed parentheses combinations using exactly n pairs.

Algorithms & Data Structures
Author's notes

Classic backtracking problem and I knew it, which helped.

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AI HintsAI Generated

Suggested Approach

Use a backtracking algorithm that builds the string incrementally, adding an opening parenthesis if we haven't used all n, and a closing parenthesis if the number of closing parentheses is less than opening. This ensures all generated strings are valid and avoids unnecessary recursion.

Pro tip: Mention that the number of valid combinations is the nth Catalan number, and that the time complexity is O(4^n / sqrt(n)) or simply O(C_n * n) where C_n is the Catalan number. This shows deeper understanding and awareness of combinatorial limits.

1. Clarify and Define

Confirm that n is a non-negative integer and that the output should be a list of strings. Discuss edge cases like n=0 (should return [''] or []) and n=1 (should return ['()']).

2. Choose Backtracking

Explain that backtracking is ideal because we can prune invalid paths early. Maintain counts of open and close parentheses used so far.

3. Define Recursive Rules

At each step, add '(' if open < n, and add ')' if close < open. Recurse with updated counts and current string. When the string length reaches 2n, add it to the result.

4. Analyze Complexity

State that the number of valid combinations is the nth Catalan number, and the time complexity is O(4^n / sqrt(n)) or O(C_n * n). Space complexity is O(n) for recursion depth plus output storage.

5. Test and Optimize

Walk through a small example like n=2 to verify correctness. Mention that using a StringBuilder or list of characters can improve performance over string concatenation.

Key Points to Mention

  • Backtracking with pruning based on open/close counts
  • Validity condition: close count never exceeds open count
  • Catalan number and its relation to the problem
  • Time and space complexity analysis
  • Edge cases: n=0, n=1
  • Potential optimizations: StringBuilder, iterative approach

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.