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 -
Initiate the process by conducting a thorough screening interview to evaluate the candidate's qualifications. Subsequently, dedicate time to meticulously review the candidate's homework assignments. Following this initial phase, engage in a series of five interview loops, each designed to delve deeper into the candidate's skills and experience. Conclude each loop by incorporating a challenging bar raiser interview to further assess the candidate's potential and suitability for the role.
Interview questions [1]
Question 1
tell me about the most challenge project which you met before.
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.