Data Engineer applicants have rated the interview process at Rocket with 2.5 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 67% positive. To compare, the company-average is 61.8% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Engineer roles take an average of 15 days to get hired, when considering 6 user submitted interviews for this role. To compare, the hiring process at Rocket overall takes an average of 19 days.
Common stages of the interview process at Rocket as a Data Engineer according to 6 Glassdoor interviews include:
Phone interview: 24%
Drug test: 12%
One on one interview: 12%
Skills test: 12%
IQ intelligence test: 12%
Presentation: 12%
Background check: 6%
Personality test: 6%
Group panel interview: 6%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 1 day. I interviewed at Rocket
Interview
The first phone screening round was for 15 mins which included the basic questions regarding my resume.The questions included like why did I apply for that position , My work experience , Challenges faced etc., I felt I did good but I later received a call saying they are moving forward with other Candidates.
Interview questions [1]
Question 1
What is the challenging situation in your work or academics
I applied online. The process took 4 weeks. I interviewed at Rocket (Detroit, MI) in Jun 2023
Interview
Interview process was smooth took about 1 month, but somehow after final interview recruiter called and told me "Panel was impressed by your background but other senior folk was selected this time sorry"
Interview questions [1]
Question 1
Tell me about the ingestion process in your recent project. What is the salting technique?
I applied through an employee referral. The process took 2 weeks. I interviewed at Rocket (Detroit, MI) in Feb 2022
Interview
1 coding test with video explanation and 1 hr 30 min interview most of the questions were on AWS architectures and design of pipelines end to end and coding questions which were challenging also with test cases
Interview questions [1]
Question 1
how do you design a end to end pipeline considering cost metrics in AWS and full dynamic architecture
Basic behavioral questions and introduction. Generic questions on the prior internship experience. Questions on university and coursework. The interview went well but they were specifically looking for a person experienced in Hadoop.