Scale Engineer

Software Engineer

Software EngineerSWE IMedium

Dataminr's Software Engineer I (SWE I) interview process is designed to assess a candidate's foundational technical skills, problem-solving abilities, and cultural fit for our fast-paced environment. We look for individuals who are eager to learn, collaborate effectively, and contribute to building robust and scalable real-time data intelligence platforms.

Rounds·3

Timeline·~7d

Experience·0 - 2 yrs

Comp band·US$90000 - US$110000

Interview time·120 min

Evaluation

What they measure.

  • Technical Proficiency: Assesses knowledge of programming languages, data structures, algorithms, and software development best practices.
  • Problem-Solving Skills: Evaluates the ability to analyze problems, devise effective solutions, and implement them efficiently.
  • Communication Skills: Measures clarity in explaining technical concepts, thought processes, and collaborating with others.
  • Cultural Fit: Determines alignment with Dataminr's values, teamwork, and adaptability.
  • Learning Agility: Assesses the capacity and eagerness to learn new technologies and adapt to evolving challenges.

Preparation

How to prepare.

Tips

  1. Review fundamental computer science concepts: data structures, algorithms, operating systems, databases, and networking.
  2. Practice coding problems on platforms like LeetCode, HackerRank, or Coderbyte, focusing on easy to medium difficulty.
  3. Understand object-oriented programming (OOP) principles and design patterns.
  4. Prepare to discuss your resume and past projects in detail, highlighting your contributions and technical challenges.
  5. Research Dataminr's mission, products, and company culture.
  6. Practice behavioral questions using the STAR method (Situation, Task, Action, Result).
  7. Prepare thoughtful questions to ask the interviewer about the role, team, and company.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms Fundamentals

Weeks 1-2: Data Structures & Basic Algorithms. Practice implementation and problem-solving.

Weeks 1-2: Focus on core data structures (arrays, linked lists, stacks, queues, trees, graphs, hash maps) and their common operations. Practice implementing them and solving problems related to their usage. Review basic algorithms like sorting (bubble, merge, quick), searching (binary search), and recursion.

Questions

Commonly asked.

  • Write a function to reverse a linked list.
  • Given an array of integers, find the two numbers that add up to a specific target.
  • Explain the difference between a process and a thread.
  • Describe a time you received constructive criticism and how you handled it.
  • How would you design a URL shortening service?
  • What are your strengths and weaknesses?
  • Tell me about a time you failed and what you learned from it.
  • How do you approach learning a new programming language or technology?
  • What interests you about Dataminr?
  • Can you explain the concept of recursion with an example?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

New York

Interview focus

Understanding of core data structures and algorithms.Ability to write clean, efficient, and maintainable code.Problem-solving and analytical thinking.Communication and teamwork skills.Adaptability and willingness to learn new technologies.

Common questions

  • Tell me about a challenging project you worked on and how you overcame obstacles.
  • How do you approach debugging a complex issue?
  • Describe a time you had to work with a difficult teammate.
  • What are your thoughts on code reviews and how do you provide constructive feedback?

Tips

  • Familiarize yourself with common data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, graph traversal).
  • Practice coding problems on platforms like LeetCode or HackerRank, focusing on medium-difficulty problems.
  • Be prepared to discuss your past projects in detail, highlighting your contributions and the technologies you used.
  • Think about how you would explain technical concepts to a non-technical person.
  • Research Dataminr's mission and products to understand how your role contributes to the company's success.

Rounds

Round-by-round.

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

Med

Technical Interview (Coding) · 45 min · Software Engineer

This round focuses on your core technical skills. You will be asked to solve one or two coding problems, typically involving data structures and algorithms. The interviewer will assess your ability to understand the problem, devise an efficient solution, write clean code, and explain your reasoning. Be prepared to discuss time and space complexity.

What they look for

A systematic approach to problem-solving.Proficiency in at least one programming language.Understanding of fundamental data structures and algorithms.Ability to write clean, well-structured code.Clear communication of ideas and solutions.

Evaluation

  • Correctness of the solution.
  • Efficiency of the solution (time and space complexity).
  • Clarity and readability of the code.
  • Ability to explain the thought process and justify choices.
  • Handling of edge cases and error conditions.

Sample questions

  • Given an array of integers `nums` and an integer `target`, return indices of the two numbers such that they add up to `target`.

    ArrayHash TableTwo Pointers

  • Implement a function to check if a binary tree is a valid Binary Search Tree (BST).

    TreeDepth-First SearchBinary Search Tree

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode, HackerRank, or Coderbyte.
  2. 02Focus on common data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, traversal).
  3. 03Understand Big O notation for analyzing time and space complexity.
  4. 04Practice explaining your thought process out loud as you solve problems.
  5. 05Be ready to write code on a whiteboard or in a shared editor.

Common rejection reasons

  • ×Inability to articulate thought process clearly.
  • ×Lack of fundamental understanding of data structures or algorithms.
  • ×Poor coding practices (e.g., unreadable code, inefficient solutions).
  • ×Difficulty in problem-solving or adapting to new approaches.

DSA

Coding questions at Dataminr.

Frequently reported on Dataminr loops

View all at Dataminr

Other guides

More at Dataminr.