Got a call from the recruiter the next day after applying and was sent an online assessment that needed to be completed within the first two weeks.
After asking the recruiter what to expect on the OA, she mentioned it would be entirely algorithm-based and nothing SQL, which did not make sense to me since Data Engineering is at least 50% SQL.
The OA was proctored, with camera and sound recording.
It had four questions: two very easy ones and then two very hard questions. The last two questions had to do with matrices and advanced algorithms.
It seems this was more of a Software Engineer type assessment, and they were looking for a Software Engineer to transition to a Data Engineering role.
If you are actually a Data Engineer with more than two years of experience, this may not be the right role for you.
Two easy questions, like valid palindrome and two sum,
and two hard questions:
The following metrics were computed from 40 interview experiences for the Capital One Data Engineer role in United States.
Capital One's interview process for their Data Engineer roles in the United States is fairly selective, failing a large portion of engineers who go through it.
Candidates reported having good feelings for Capital One's Data Engineer interview process in United States.