What is a Data Engineer at Factset?
A Data Engineer at Factset plays a crucial role in the design, construction, and maintenance of systems that enable the effective handling of vast amounts of financial data. This role is pivotal to the company’s ability to deliver accurate, timely, and relevant data products to its users, which include investment professionals and financial analysts. By ensuring that data pipelines are efficient and reliable, Data Engineers help maintain the high standards of data integrity that Factset is known for.
In this role, you will be involved in various projects that leverage the latest technologies to support data analytics and reporting. You will collaborate with teams across the organization, including data scientists and software developers, to create scalable solutions that meet the evolving needs of users. The complexity and scale of the data handled by Factset present unique challenges, making this role not only critical but also intellectually stimulating and rewarding.
Expect to engage with a variety of technologies and methodologies in an environment that values innovation and efficiency. The impact of your work will directly enhance the decision-making capabilities of users, contributing significantly to the overall business objectives of Factset.
Common Interview Questions
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Sign up freeAlready have an account? Sign inPractice questions from our question bank
Curated questions for Factset from real interviews. Click any question to practice and review the answer.
Design a batch ETL pipeline that detects, imputes, and monitors missing values before loading analytics tables with daily SLA compliance.
Design a batch data pipeline with quality gates, quarantine handling, and monitored reprocessing for 120M finance records per day.
Design Terraform-based infrastructure as code for AWS data pipelines with reusable modules, secure state management, CI/CD, and drift control.
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Sign up freeAlready have an account? Sign inGetting Ready for Your Interviews
Preparation is key to succeeding in your interview at Factset. Focus on understanding the core competencies required for the Data Engineer role and how you can demonstrate your strengths in those areas.
Role-related knowledge – This encompasses your technical skills, specifically in SQL, data modeling, and ETL processes. Interviewers will assess your familiarity with relevant technologies and your ability to apply them in practical scenarios.
Problem-solving ability – Your approach to tackling complex data challenges will be critical. Show how you structure your thought process and the methodologies you employ to arrive at solutions.
Collaboration – As a Data Engineer, you will work closely with various teams. Highlight your communication and teamwork skills during the interview.
Culture fit / values – Factset places great emphasis on its company culture. Be prepared to discuss how your values align with those of Factset and how you approach ambiguity and collaboration.
Interview Process Overview
The interview process for a Data Engineer at Factset typically involves multiple stages, including technical assessments and behavioral interviews. Candidates can expect a structured yet collaborative atmosphere where the focus is on evaluating both technical prowess and cultural fit.
During the interviews, you will likely engage with team members from various departments, providing an opportunity to showcase your skills while also assessing how well you align with the company’s values. The interviews tend to be rigorous, demanding a thorough understanding of data engineering principles and the ability to articulate your thought process clearly.
