Solutions Engineer applicants have rated the interview process at Databricks with 2.5 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 46% positive. To compare, the company-average is 47.6% positive. This is according to Glassdoor user ratings.
Candidates applying for Solutions Engineer roles take an average of 22 days to get hired, when considering 13 user submitted interviews for this role. To compare, the hiring process at Databricks overall takes an average of 35 days.
Common stages of the interview process at Databricks as a Solutions Engineer according to 13 Glassdoor interviews include:
Phone interview: 23%
One on one interview: 20%
Skills test: 17%
Group panel interview: 17%
Presentation: 13%
Other: 3%
Personality test: 3%
Background check: 3%
Here are the most commonly searched roles for interview reports -
I applied through a recruiter. I interviewed at Databricks in Dec 2024
Interview
I was contacted twice and encouraged to apply. I did, but after a brief conversation with the hiring manager, the process was stopped without any feedback. It was a very poor experience.
first round was with the recruiter. did not get past that. Mostly because the experience didnt match. They are very precise on years of experience. They are very precise on years of experience.
Poor interview process. Were unclear about stages and mixed up the sequence of stages. I cleared the advanced stages first but didn’t clear the HM stage. A bit of a let down to both parties as it wasted our precious time due to misaligned expectations.
The hiring process consists of several stages: a recruiter interview, technical interviews, a hiring manager interview, a case study interview, and a technical assessment assignment to evaluate candidate skills and suitability in python and spark.