Data Engineer applicants have rated the interview process at Amazon with 3.2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 52% positive. To compare, the company-average is 57.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Engineer roles take an average of 27 days to get hired, when considering 187 user submitted interviews for this role. To compare, the hiring process at Amazon overall takes an average of 28 days.
Common stages of the interview process at Amazon as a Data Engineer according to 187 Glassdoor interviews include:
Phone interview: 34%
One on one interview: 19%
Skills test: 15%
Presentation: 10%
Group panel interview: 7%
Personality test: 5%
IQ intelligence test: 4%
Background check: 3%
Other: 2%
Drug test: 1%
Here are the most commonly searched roles for interview reports -
I applied through an employee referral. The process took 3 weeks. I interviewed at Amazon (Beijing, Beijing) in Apr 2015
Interview
Got two calls, the first call is for a general lean of my background and skills. The second call for deeper database related experiences. Then followed with on-site interviews.some of the interview rounds are quite data engineer related. While think couple are not that related,like interview questions might ask SDE candidate.
Interview questions [1]
Question 1
Describe a difficult question you ever met and how you resolve it.
I applied online. I interviewed at Amazon in Jun 2026
Interview
Applied online. Got an OA. OA was not that difficulty, on the easier side to be honest. Got an email asking for interview availability.
Interview in a week. Will update soon.
Very difficult process it took me a round 1 month to get back what’s the review for the interview so I think overall it’s bad experience and difficult interview process while it has lot of questions I wa able to answer
Standard three-round process consisting of an online assessment followed by a comprehensive interview loop, where candidates were evaluated across technical skills, problem solving ability, and overall fit for the role.