# Software Engineer
**Role:** Software Engineer · **Level:** SWE II
**Company:** [Dataminr](https://scaleengineer.com/companies/dataminr)
**Difficulty:** Medium to Hard
**Salary:** US$110000 - US$150000
**Experience:** 2 - 5
**Timeline:** ~7 days
The Software Engineer II interview at Dataminr is designed to assess a candidate's technical proficiency, problem-solving abilities, and cultural fit within the company. It involves a series of rounds focusing on data structures, algorithms, system design, and behavioral aspects, ensuring a comprehensive evaluation of the candidate's suitability for the role.
Canonical: https://scaleengineer.com/interviews/dataminr/swe-ii-software-engineer
---
## Overall evaluation

- Technical Skills
- Communication & Collaboration
- Cultural Fit & Motivation

## Questions asked

- Given an array of integers, find the contiguous subarray with the largest sum.
- Design a URL shortening service like bit.ly.
- How would you design a system to track real-time user activity on a website?
- Tell me about a time you disagreed with a teammate and how you resolved it.
- What are the trade-offs between using a relational database and a NoSQL database?
- Implement a function to reverse a linked list.
- Describe a situation where you had to handle a production issue under pressure.
- How would you optimize a slow database query?
- What are the principles of RESTful API design?
- Tell me about a project you are particularly proud of.

## Preparation tips

### lists

- Review fundamental data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, graph traversal).
- Practice coding problems on platforms like LeetCode, HackerRank, or Coderbyte, focusing on medium to hard difficulty.
- Study system design principles, including scalability, availability, consistency, and common design patterns.
- Prepare for behavioral questions by reflecting on past experiences using the STAR method (Situation, Task, Action, Result).
- Research Dataminr's mission, products, and recent news to understand the company's context.
- Understand the technologies and programming languages commonly used at Dataminr (e.g., Python, Go, Java, AWS).

### studyPlan

- {"title":"Data Structures & Algorithms","longDescription":"Weeks 1-2: Focus on core data structures and algorithms. Practice problems related to arrays, strings, linked lists, trees, and basic sorting/searching algorithms. Aim for 2-3 problems per day.","shortDescription":"Weeks 1-2: Data Structures & Algorithms Fundamentals. Practice 2-3 problems/day."}
- {"title":"Advanced Algorithms","longDescription":"Weeks 3-4: Deepen understanding of more complex algorithms like dynamic programming, graph algorithms, and advanced tree structures. Start practicing medium-difficulty problems on platforms like LeetCode.","shortDescription":"Weeks 3-4: Advanced Algorithms & Medium Problems. Focus on DP, Graphs."}
- {"title":"System Design","longDescription":"Weeks 5-6: Concentrate on system design. Study concepts like load balancing, caching, databases (SQL vs. NoSQL), message queues, and distributed systems. Review common system design interview questions and practice designing systems.","shortDescription":"Weeks 5-6: System Design Principles. Study scalability, databases, caching."}
- {"title":"Behavioral & Company Research","longDescription":"Week 7: Prepare for behavioral and situational questions. Reflect on past projects and experiences using the STAR method. Prepare questions to ask the interviewer. Review company information and role specifics.","shortDescription":"Week 7: Behavioral Prep & Company Research. Use STAR method, prepare questions."}

## Location differences

- {"location":"New York","differences":{"tips":["Familiarize yourself with Dataminr's product and how it leverages real-time data.","Be prepared to discuss your contributions to past projects in detail.","Practice explaining technical concepts clearly and concisely."],"interviewFocus":["System Design: Emphasis on scalability, reliability, and distributed systems.","Problem-Solving: Ability to break down complex problems and propose efficient solutions.","Collaboration: How candidates work with cross-functional teams."],"commonQuestions":["How would you design a real-time notification system for a large user base?","Discuss a challenging technical problem you solved recently.","Explain the trade-offs between different database technologies for a specific use case."]}}
- {"location":"Remote","differences":{"tips":["Research Dataminr's presence and impact in the specific region.","Highlight experiences where you demonstrated leadership and ownership.","Be ready to discuss your career aspirations and how they align with Dataminr's growth."],"interviewFocus":["Adaptability: Ability to thrive in a fast-paced, evolving environment.","Technical Depth: Strong understanding of core computer science principles.","Initiative: Proactiveness in identifying and solving problems."],"commonQuestions":["Describe a situation where you had to deal with ambiguity in requirements.","How do you approach debugging a complex distributed system?","What are your thoughts on microservices architecture?"]}}

## Round 1: Data Structures and Algorithms
**Type:** Technical Interview (Coding) · **Difficulty:** Medium · **Duration:** 45 min
Assess fundamental coding skills with data structures and algorithms.
This round focuses on your fundamental computer science knowledge. You will be asked to solve coding problems that test your understanding of data structures (like arrays, linked lists, trees, hash maps) and algorithms (like sorting, searching, dynamic programming). The interviewer will assess your ability to write clean, efficient, and correct code, as well as your approach to problem-solving.
**Interviewers look for:** Understanding of basic data structures and algorithms.; Ability to translate a problem into code.; Logical thinking and systematic approach to problem-solving.
**Evaluation criteria:** Correctness of the solution; Efficiency of the solution (time and space complexity); Code clarity and readability; Problem-solving approach
**Common rejection reasons:** Inability to articulate thought process clearly.; Lack of fundamental data structure and algorithm knowledge.; Poor coding style or syntax errors.; Inability to solve even basic coding problems.
## Questions

- Given an array of integers, find the contiguous subarray with the largest sum.
- Implement a function to reverse a linked list.
- Find the kth smallest element in an unsorted array.

## Preparation tips

- Practice coding problems on platforms like LeetCode, focusing on 'Easy' and 'Medium' difficulties.
- Review common data structures and algorithms.
- Be prepared to explain your thought process out loud as you code.
- Practice writing code on a whiteboard or in a shared editor.

## Round 2: System Design
**Type:** System Design Interview · **Difficulty:** Hard · **Duration:** 60 min
Assess ability to design scalable and robust software systems.
This round evaluates your ability to design and architect software systems. You'll be presented with a high-level problem (e.g., designing a social media feed, a URL shortener, or a real-time notification system) and expected to propose a scalable, reliable, and maintainable solution. This includes discussing database choices, caching strategies, API design, and handling potential bottlenecks.
**Interviewers look for:** Ability to design complex systems from scratch.; Understanding of distributed systems principles.; Knowledge of various technologies and their applications.; Ability to handle ambiguity and make reasoned decisions.
**Evaluation criteria:** Scalability of the design; Reliability and fault tolerance; Trade-off analysis; Understanding of system components (databases, caching, load balancers, etc.); Clarity of explanation
**Common rejection reasons:** Inability to design scalable and reliable systems.; Lack of understanding of distributed systems concepts.; Poor trade-off analysis.; Not considering edge cases or failure scenarios.
## Questions

- Design a URL shortening service like bit.ly.
- How would you design a system to track real-time user activity on a website?
- Design a distributed cache system.

## Preparation tips

- Study system design concepts: scalability, availability, consistency, databases (SQL/NoSQL), caching, load balancing, message queues.
- Review common system design interview questions.
- Practice designing systems by breaking them down into components and discussing trade-offs.
- Be prepared to draw diagrams and explain your design choices clearly.

## Round 3: Behavioral and Managerial
**Type:** Behavioral Interview · **Difficulty:** Medium · **Duration:** 45 min
Assess behavioral competencies, teamwork, and cultural fit.
This round focuses on your behavioral and situational responses. You'll be asked questions about your past experiences, how you handle challenges, work in teams, and your motivations. The goal is to understand your personality, work style, and how well you would fit into the Dataminr team and culture. Using the STAR method (Situation, Task, Action, Result) is highly recommended for answering these questions.
**Interviewers look for:** How you handle challenges and conflicts.; Your ability to work in a team.; Your motivation and passion for software engineering.; Your understanding of Dataminr's culture and values.
**Evaluation criteria:** Communication skills; Teamwork and collaboration; Problem-solving approach in past projects; Adaptability and learning agility; Alignment with company values
**Common rejection reasons:** Poor communication skills.; Lack of self-awareness.; Inability to provide specific examples.; Negative attitude or lack of enthusiasm.; Poor cultural fit.
## Questions

- Tell me about a time you disagreed with a teammate and how you resolved it.
- Describe a challenging project you worked on and how you overcame obstacles.
- Why are you interested in Dataminr?

## Preparation tips

- Prepare examples for common behavioral questions (e.g., teamwork, conflict resolution, handling failure, leadership).
- Use the STAR method to structure your answers.
- Research Dataminr's company values and culture.
- Be ready to discuss your career goals and why you are interested in Dataminr.