Data Engineer applicants have rated the interview process at Chewy with 2.4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 17% positive. To compare, the company-average is 46% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Engineer roles take an average of 16 days to get hired, when considering 6 user submitted interviews for this role. To compare, the hiring process at Chewy overall takes an average of 18 days.
Common stages of the interview process at Chewy as a Data Engineer according to 6 Glassdoor interviews include:
Phone interview: 40%
Presentation: 20%
Group panel interview: 10%
Personality test: 10%
One on one interview: 10%
Skills test: 10%
Here are the most commonly searched roles for interview reports -
I got a email to schedule interview and after sending dates. They vanished and not even an email saying they moved on. This is weird. And never applied here again
After one recruiter call, I was ghosted. Chewy leadership felt reminiscent of a notoriously toxic big tech culture. Disorganized process, poor follow-up. Applicants should reconsider investing time here at all cost.
Interview questions [1]
Question 1
Why do you want to join ? How past experience align with the current role ?
I applied through a recruiter. The process took 2 weeks. I interviewed at Chewy (Seattle, WA) in Feb 2025
Interview
1) Hiring Manager: Past experience
2) Virtual Loop:
- System Design Round: No actual sys design, just verbal question
- Behavioural x 2 : On their operating principles, they are not data enigineers, and will ask question which are out of scope for data engineerings, like ML, Agents, etc.
- Coding: Python