Scale Engineer

Software Engineer

Software EngineerL3Medium

The interview process for a Software Engineer (L3) at Databricks is designed to assess a candidate's foundational technical skills, problem-solving abilities, and cultural fit within the company. The process typically involves multiple rounds, starting with an HR screening, followed by technical interviews focusing on data structures, algorithms, and coding, and concluding with a behavioral and system design interview. The goal is to identify candidates who can contribute effectively to Databricks' innovative and collaborative environment.

Rounds·4

Timeline·~7d

Experience·1 - 3 yrs

Comp band·US$90000 - US$130000

Interview time·165 min

Evaluation

What they measure.

  • Problem-solving skills
  • Algorithmic thinking
  • Coding proficiency
  • Data structures knowledge
  • System design fundamentals
  • Communication skills
  • Teamwork and collaboration
  • Cultural fit

Preparation

How to prepare.

Tips

  1. Review fundamental data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, graph traversal).
  2. Practice coding problems on platforms like LeetCode, HackerRank, focusing on medium-difficulty problems.
  3. Understand Big O notation for time and space complexity analysis.
  4. Brush up on object-oriented programming (OOP) principles.
  5. Study basic system design concepts, such as scalability, availability, and fault tolerance.
  6. Prepare for behavioral questions by thinking about your past experiences using the STAR method (Situation, Task, Action, Result).
  7. Research Databricks' products, mission, and recent news.
  8. Prepare questions to ask the interviewer about the role, team, and company culture.

Study plan

Fig · Study plan — 05 phases

01 / 05
01

Phase 01 of 05

Data Structures and Algorithms Fundamentals

Weeks 1-2: Data Structures (Arrays, Lists, Trees, Graphs, Hash Maps) & Basic Algorithms (Sorting, Searching, Recursion).

Weeks 1-2: Focus on core data structures like arrays, linked lists, stacks, queues, hash maps, trees (binary trees, BSTs, heaps), and graphs. Practice implementing these and solving problems related to them. Understand their time and space complexities. Cover basic algorithms like sorting (quicksort, mergesort), searching (binary search), and recursion.

Questions

Commonly asked.

  • Given an array of integers, find the contiguous subarray with the largest sum.
  • Implement a function to reverse a linked list.
  • Design a URL shortening service.
  • Tell me about a time you faced a technical challenge and how you overcame it.
  • How would you handle a situation where a teammate is not pulling their weight?
  • Explain the difference between a process and a thread.
  • Write a function to find the kth smallest element in an unsorted array.
  • How do you ensure the scalability of a web application?
  • Describe a project where you had to collaborate with cross-functional teams.
  • What are your strengths and weaknesses?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Remote/Hybrid

Interview focus

Adaptability to new technologies and problem-solving approaches.Collaboration and communication skills in a remote or hybrid setting.Understanding of distributed systems concepts relevant to cloud environments.

Common questions

  • Tell me about a challenging project you worked on.
  • How do you handle disagreements within a team?
  • Describe a time you had to learn a new technology quickly.

Tips

  • Highlight projects where you demonstrated adaptability and quick learning.
  • Emphasize your experience with remote collaboration tools and techniques.
  • Be prepared to discuss your understanding of cloud-native architectures.

Rounds

Round-by-round.

Expand a step for evaluation criteria, sample questions, and prep notes.

DSA

Coding questions at Databricks.

Frequently reported on Databricks loops

View all at Databricks

Other guides

More at Databricks.