Data Engineer applicants have rated the interview process at Rackspace Technology with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 75% positive. To compare, the company-average is 59.4% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Engineer roles take an average of 49 days to get hired, when considering 4 user submitted interviews for this role. To compare, the hiring process at Rackspace Technology overall takes an average of 24 days.
Common stages of the interview process at Rackspace Technology as a Data Engineer according to 4 Glassdoor interviews include:
One on one interview: 29%
Skills test: 29%
Phone interview: 14%
Group panel interview: 14%
Background check: 14%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 5 days. I interviewed at Rackspace Technology (Hyderābād) in Jan 2022
Interview
I had 7 rounds of interview. three were technical and the other were managerial rounds. The interview will be a tough one. Though it is service based company, the work will be of good quality.
Interview questions [1]
Question 1
Asked me to explain the architecture and the questions raised on that
I applied through a recruiter. The process took 2 weeks. I interviewed at Rackspace Technology (Gurgaon, Haryana) in Jan 2026
Interview
It took two technical rounds. Round 1 technical and round 2 technical. Mostly focus on SQL, Azure concepts, ADF pipelines, some questions on the data visualization. Interviewer mostly focus on the concepts for ADLS,ADF, data lake.
I interviewed at Rackspace Technology (Cairo, Cairo Governorate)
Interview
The interview process was amazing and really I appreciate it.
It starts with a technical one.
The interviewers show respect and professionalism.
Their questions explore my knowledge and weakness points
I applied online. The process took 1+ week. I interviewed at Rackspace Technology (Cairo, Cairo Governorate) in Oct 2024
Interview
Michael Karam interviewed me for a Data Engineer position, and he was very professional. The interview focused on data warehouse concepts, big data, cloud computing, problem-solving( python , sql ), and networking and all of these divided into 4 parts