# Software Engineer
**Role:** Software Engineer · **Level:** Distinguished Engineer
**Company:** [FactSet](https://scaleengineer.com/companies/factset)
**Difficulty:** Very High
**Salary:** US$180000 - US$250000
**Experience:** 12 - 20
**Timeline:** ~21 days
The Distinguished Engineer interview at FactSet is a rigorous process designed to assess deep technical expertise, strategic thinking, leadership potential, and the ability to drive innovation. Candidates are expected to demonstrate a mastery of software engineering principles, a proven track record of delivering complex, high-impact projects, and the capacity to mentor and influence other engineers. This role requires a strong understanding of system design, scalability, performance optimization, and a broad knowledge of various technologies and architectural patterns. The interview process is comprehensive, covering technical depth, problem-solving skills, behavioral aspects, and alignment with FactSet's culture and values.
Canonical: https://scaleengineer.com/interviews/factset/distinguished-engineer-software-engineer
---
## Overall evaluation

- Technical Proficiency
- Leadership & Communication
- Business Acumen & Strategy

## Questions asked

- Describe a time you had to make a significant technical decision with incomplete information. How did you approach it, and what was the outcome?
- Discuss a complex system you designed or significantly contributed to. What were the key challenges, and how did you address them?
- How do you stay current with emerging technologies and industry trends? How have you incorporated new technologies into your work?
- Tell me about a time you mentored a junior engineer or led a technical team. What was your approach to fostering growth and ensuring project success?
- What are your thoughts on the future of financial technology, and how can FactSet best position itself for success in that landscape?
- Describe a situation where you had to influence stakeholders with differing technical opinions. How did you reach a consensus?
- How do you approach designing for high availability and disaster recovery in a distributed system?
- Tell me about a time you identified and resolved a critical performance bottleneck in a large-scale application.
- What are your strategies for managing technical debt and ensuring code quality in a fast-paced environment?
- How do you see AI and machine learning impacting the financial services industry, and where do you see FactSet playing a role?
- Walk me through a challenging project where you had to balance competing priorities (e.g., speed, cost, quality).
- How do you approach designing APIs for internal and external consumption, ensuring robustness and ease of use?
- Describe your experience with data modeling and database performance optimization for large datasets.
- Tell me about a time you had to advocate for a new technology or architectural approach. What was the process, and what was the outcome?
- What are the key considerations when designing for security and compliance in financial applications?

## Preparation tips

### lists

- Thoroughly review your resume and be prepared to discuss every project and accomplishment in detail.
- Deepen your understanding of core computer science concepts, including data structures, algorithms, operating systems, and databases.
- Study system design principles, focusing on scalability, reliability, availability, and performance.
- Familiarize yourself with FactSet's products, services, and the financial industry.
- Practice behavioral questions using the STAR method (Situation, Task, Action, Result).
- Prepare thoughtful questions to ask the interviewers about the role, team, and company.
- Review common interview questions for Distinguished Engineers and practice articulating your thought process.
- Understand FactSet's company culture, values, and mission.

### studyPlan

- {"title":"Foundational Knowledge","longDescription":"Weeks 1-2: Focus on core computer science fundamentals. Review data structures (arrays, linked lists, trees, graphs, hash tables), algorithms (sorting, searching, dynamic programming, graph traversal), operating systems concepts (processes, threads, memory management), and database principles (SQL, NoSQL, indexing, transactions). Practice coding problems on platforms like LeetCode, HackerRank, focusing on medium to hard difficulty.","shortDescription":"Weeks 1-2: Core CS Fundamentals (Data Structures, Algorithms, OS, Databases). Practice coding problems."}
- {"title":"System Design Mastery","longDescription":"Weeks 3-4: Dive deep into system design. Study distributed systems concepts, microservices architecture, API design, caching strategies, message queues, load balancing, and database scaling. Read relevant books like 'Designing Data-Intensive Applications' and review common system design interview patterns. Practice designing systems for scalability and reliability.","shortDescription":"Weeks 3-4: System Design (Distributed Systems, Microservices, Scalability, Reliability). Practice system design problems."}
- {"title":"Behavioral & Leadership","longDescription":"Week 5: Focus on behavioral and leadership aspects. Prepare examples using the STAR method for questions related to leadership, teamwork, conflict resolution, problem-solving, and handling failure. Reflect on your career achievements and how they demonstrate the qualities of a Distinguished Engineer. Research FactSet's values and culture.","shortDescription":"Week 5: Behavioral & Leadership Preparation (STAR method, career reflection, company values)."}
- {"title":"Final Preparation","longDescription":"Week 6: Final preparation and mock interviews. Review all topics, focusing on areas where you feel less confident. Conduct mock interviews with peers or mentors to simulate the interview environment and get feedback on your technical explanations and behavioral responses. Prepare insightful questions for the interviewers.","shortDescription":"Week 6: Mock Interviews, final review, question preparation."}

## Location differences

- {"location":"New York","differences":{"tips":["Be prepared to discuss your most impactful projects in detail, focusing on your specific contributions and the business outcomes.","Articulate your thought process clearly, especially when discussing complex technical challenges and solutions.","Demonstrate a strong understanding of FactSet's business and how technology drives value for our clients.","Showcase your ability to think strategically and provide insights into future technology trends.","Highlight your experience in mentoring, leadership, and influencing technical direction."],"interviewFocus":["Deep dive into architectural decisions and trade-offs.","Strategic thinking and long-term vision for technology.","Leadership and influence within a technical organization.","Understanding of business impact and client needs.","Adaptability to evolving market demands."],"commonQuestions":["Discuss a time you had to make a significant technical decision with incomplete information. How did you approach it, and what was the outcome?","Describe a complex system you designed or significantly contributed to. What were the key challenges, and how did you address them?","How do you stay current with emerging technologies and industry trends? How have you incorporated new technologies into your work?","Tell me about a time you mentored a junior engineer or led a technical team. What was your approach to fostering growth and ensuring project success?","What are your thoughts on the future of financial technology, and how can FactSet best position itself for success in that landscape?"]}}
- {"location":"London","differences":{"tips":["Prepare to discuss your experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).","Be ready to whiteboard system designs, explaining your choices and trade-offs.","Emphasize your ability to lead technical discussions and mentor other engineers.","Showcase your understanding of agile methodologies and continuous delivery.","Connect your technical expertise to business objectives and client success."],"interviewFocus":["System design and architecture, with an emphasis on scalability and reliability.","Problem-solving and debugging complex technical issues.","Leadership in driving technical initiatives and best practices.","Communication and collaboration with cross-functional teams.","Understanding of cloud-native architectures and DevOps practices."],"commonQuestions":["Describe a situation where you had to influence stakeholders with differing technical opinions. How did you reach a consensus?","How do you approach designing for high availability and disaster recovery in a distributed system?","Tell me about a time you identified and resolved a critical performance bottleneck in a large-scale application.","What are your strategies for managing technical debt and ensuring code quality in a fast-paced environment?","How do you see AI and machine learning impacting the financial services industry, and where do you see FactSet playing a role?"]}}
- {"location":"Gurugram","differences":{"tips":["Be prepared to discuss your experience with specific technologies used at FactSet, such as Java, Python, C++, and relevant financial data platforms.","Highlight your ability to translate business requirements into robust technical solutions.","Demonstrate a proactive approach to identifying and mitigating technical risks.","Showcase your experience in leading and influencing technical teams.","Be ready to discuss your perspective on the future of financial data and analytics."],"interviewFocus":["Technical depth in specific areas relevant to FactSet's product suite.","Ability to drive technical strategy and roadmap.","Experience with large-scale data processing and analytics.","Leadership in fostering a culture of innovation and continuous improvement.","Understanding of risk management and regulatory compliance."],"commonQuestions":["Walk me through a challenging project where you had to balance competing priorities (e.g., speed, cost, quality).","How do you approach designing APIs for internal and external consumption, ensuring robustness and ease of use?","Describe your experience with data modeling and database performance optimization for large datasets.","Tell me about a time you had to advocate for a new technology or architectural approach. What was the process, and what was the outcome?","What are the key considerations when designing for security and compliance in financial applications?"]}}

## Round 1: Technical Coding Round
**Type:** Data Structures and Algorithms · **Difficulty:** High · **Duration:** 60 min
Assess coding skills and fundamental CS knowledge through problem-solving.
This round focuses on assessing your fundamental computer science knowledge and your ability to translate problem statements into efficient code. You will be presented with one or two complex coding problems, typically involving data structures and algorithms. The interviewer will evaluate your approach to problem-solving, your coding style, your ability to optimize solutions, and your understanding of time and space complexity. Expect to write code on a whiteboard or in a shared editor, and be prepared to discuss your solution thoroughly.
**Interviewers look for:** Clean, efficient, and correct code.; Clear explanation of approach.; Consideration of time and space complexity.; Ability to handle follow-up questions and edge cases.; Understanding of fundamental CS concepts.
**Evaluation criteria:** Problem-solving ability.; Data structure and algorithm knowledge.; Coding proficiency.; Logical thinking.; Ability to explain thought process.
**Common rejection reasons:** Inability to articulate technical concepts clearly.; Lack of depth in core technical areas.; Poor problem-solving approach.; Failure to consider edge cases or scalability.; Weak communication skills.
## Questions

- Given a binary tree, invert the tree.
- Find the kth largest element in an unsorted array.
- Implement a function to determine if a string is a valid palindrome, considering only alphanumeric characters and ignoring cases.
- Given an array of integers, return indices of the two numbers such that they add up to a specific target.

## Preparation tips

- Practice coding problems on platforms like LeetCode, HackerRank, focusing on medium to hard difficulty.
- Review common data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, graph traversal).
- Understand Big O notation for time and space complexity.
- Practice explaining your thought process out loud as you solve problems.
- Be prepared to discuss trade-offs between different approaches.

## Round 2: System Design Round
**Type:** System Design & Architecture · **Difficulty:** Very High · **Duration:** 60 min
Assess ability to design scalable, reliable, and performant software systems.
This round evaluates your ability to design complex, scalable, and reliable software systems. You'll be given an open-ended problem, such as designing a specific service (e.g., a URL shortener, a social media feed) or a large-scale system. The interviewer will assess your ability to break down the problem, identify key components, choose appropriate technologies, and discuss trade-offs. Expect to whiteboard your design and justify your decisions regarding scalability, availability, data storage, APIs, and potential bottlenecks.
**Interviewers look for:** Well-thought-out system architecture.; Clear justification for design choices.; Consideration of various components (databases, caching, load balancers, APIs).; Ability to handle scale and potential failures.; Pragmatic approach to problem-solving.
**Evaluation criteria:** System design capabilities.; Understanding of scalability, reliability, and availability.; Knowledge of architectural patterns.; Ability to handle trade-offs.; Problem decomposition and abstraction.
**Common rejection reasons:** Inability to design scalable and reliable systems.; Poor understanding of distributed systems concepts.; Lack of consideration for trade-offs.; Failure to address non-functional requirements (scalability, availability, performance).; Weak communication of design choices.
## Questions

- Design a URL shortening service like Bitly.
- Design a system to count unique visitors to a website in real-time.
- Design the backend for a ride-sharing service like Uber.
- Design a system to handle notifications for a large-scale application.

## Preparation tips

- Study common system design patterns and architectures (microservices, monolithic, event-driven).
- Understand concepts like load balancing, caching, database scaling (sharding, replication), message queues, and CDNs.
- Practice designing various systems, considering functional and non-functional requirements.
- Read books like 'Designing Data-Intensive Applications' and 'System Design Interview – An insider's guide'.
- Be prepared to discuss trade-offs between different design choices.

## Round 3: Behavioral and Leadership Round
**Type:** Behavioral & Leadership Interview · **Difficulty:** High · **Duration:** 45 min
Assess behavioral competencies, leadership, and cultural fit.
This round focuses on your behavioral competencies, leadership potential, and how you collaborate within a team. You'll be asked questions about past experiences related to teamwork, conflict resolution, handling failure, leadership, and influencing others. The interviewer aims to understand your working style, your ability to mentor and lead, and how you align with FactSet's culture and values. Prepare specific examples using the STAR method to illustrate your skills and experiences.
**Interviewers look for:** Examples of leadership and initiative.; Ability to work effectively in a team.; Constructive handling of challenges and conflicts.; Self-awareness and reflection.; Alignment with FactSet's mission and values.; Mentorship and coaching capabilities.
**Evaluation criteria:** Leadership qualities.; Teamwork and collaboration.; Communication skills.; Problem-solving in non-technical contexts.; Cultural fit and alignment with FactSet values.; Mentorship experience.
**Common rejection reasons:** Lack of leadership or initiative.; Poor collaboration or teamwork.; Inability to handle conflict or difficult situations.; Lack of self-awareness.; Poor alignment with company values.
## Questions

- Tell me about a time you had a disagreement with a colleague. How did you resolve it?
- Describe a situation where you had to take initiative to solve a problem.
- How do you handle constructive criticism?
- Tell me about a time you failed. What did you learn from it?
- How do you mentor junior engineers?

## Preparation tips

- Prepare specific examples using the STAR method (Situation, Task, Action, Result) for common behavioral questions.
- Reflect on your leadership experiences, including mentoring, guiding teams, and driving initiatives.
- Think about challenging situations you've faced and how you resolved them.
- Understand FactSet's core values and be ready to discuss how you embody them.
- Be prepared to discuss your career aspirations and why you are interested in this role at FactSet.

## Round 4: Strategic Vision Round
**Type:** Managerial & Strategic Interview · **Difficulty:** High · **Duration:** 45 min
Assess strategic thinking, business acumen, and long-term vision.
This final round is typically with a senior leader and focuses on your strategic thinking, business acumen, and overall vision. You'll discuss your perspective on the industry, how technology can drive business value, and your long-term career goals. The interviewer wants to understand if you can operate at a strategic level, influence technical direction across the organization, and contribute to FactSet's overall success. Be prepared to discuss your thoughts on innovation, market trends, and how you see yourself making a significant impact.
**Interviewers look for:** Insightful perspectives on technology and business strategy.; Understanding of how technology drives business value.; Ability to think about the future and anticipate trends.; Alignment with FactSet's strategic objectives.; Passion for the financial industry and technology.
**Evaluation criteria:** Strategic thinking.; Business acumen.; Understanding of FactSet's market and clients.; Long-term vision.; Alignment with company goals.; Potential for impact and influence.
**Common rejection reasons:** Lack of strategic vision.; Inability to connect technical decisions to business outcomes.; Poor understanding of the company's business or industry.; Lack of clarity on career goals.; Mismatch in expectations regarding the role's impact.
## Questions

- What are your thoughts on the future of financial data and analytics?
- How can technology help FactSet better serve its clients?
- Describe a time you influenced the technical direction of a team or organization.
- Where do you see yourself in 5 years, and how does this role align with that vision?
- What are the biggest challenges facing the financial technology industry today?

## Preparation tips

- Research FactSet's business, products, clients, and recent news.
- Think critically about the financial technology landscape and emerging trends.
- Prepare to discuss your vision for technology's role in the financial industry.
- Articulate how your skills and experience align with FactSet's strategic goals.
- Be ready to discuss your career aspirations and how this role fits into them.