Data Engineer applicants have rated the interview process at Fidelity Investments with 2.9 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 54% positive. To compare, the company-average is 67.1% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Engineer roles take an average of 33 days to get hired, when considering 13 user submitted interviews for this role. To compare, the hiring process at Fidelity Investments overall takes an average of 28 days.
Common stages of the interview process at Fidelity Investments as a Data Engineer according to 13 Glassdoor interviews include:
Presentation: 24%
Phone interview: 20%
One on one interview: 20%
Drug test: 12%
Skills test: 8%
Group panel interview: 8%
IQ intelligence test: 4%
Background check: 4%
Here are the most commonly searched roles for interview reports -
I applied through college or university. I interviewed at Fidelity Investments
Interview
coding round 4 questions interview round based on resume and mostly projects and also testing sql knowledge and oops 2 months summer internship . stipend offered was 35000 7 out of 50 weree selected
it was good and smooth interview process. started with normal introduction basic topics mentioned in JD and didnt asked any coding related questions and the interview lasted for an hour
I applied online. I interviewed at Fidelity Investments (Bengaluru) in Sep 2025
Interview
we had first OA followed by interview the interview had two rounds technical and HR, technical was mostly DSA questions and explaining projects. HR round was basic questions. about the likes and dislikes, hobbies, analytical and scenario questions.
I applied online. The process took 2 weeks. I interviewed at Fidelity Investments (Bengaluru) in Aug 2025
Interview
It was a 3 step process :-
1. technical round 1 which was taken my the super senior manager just checking the basic concepts
2. technical + managerial round :- taken by lead and a manager was bit on a difficult side.
3. Hr round :- basic discussion and salary negotiation round
Interview questions [1]
Question 1
Data modelling concepts , aws concepts and data bricks