I had applied through the company's career portal and received a call from HR within a few weeks. The position offered was different from the one I had applied for, but they were ready to sponsor an H1B visa for it. The HR representative briefed me about the "power day." I reside in the state where I had applied for the position, so travel and finding the location were very simple for me.
The interview had three components: two behavioral, one case, and one technical.
I had a week to prepare and did not have any prior experience with a four-hour interview. I reviewed multiple experiences on Glassdoor and browsed examples of case interviews. For the technical portion, I relied solely on my experience.
First was Behavior: All questions resembled the ones given by HR. However, the interviewer keenly noted down and questioned the things I spoke about. It was a 45-minute discussion with a seasoned and cool senior architect.
Second was Case: The question was about designing software to handle an automated process – a tool to judge whether a loan can be given to a customer. Topics discussed included parameters, cost, hours to be spent, other options to consider, deadlines, actions for a federal deadline, profits, loss, and break-even. It was a healthy conversation. I made a few silly mistakes, and I was concerned they would affect my selection.
Third was Behavior: Questions were asked in a way that might have required me to contradict some of my earlier statements. I discovered behavior is not easy to handle, but if you speak the truth, you don't have to worry. I was able to share many real-time experiences, and the discussion was satisfying.
Technical: Two interviewers. Topics covered included metadata management, table full refresh, design approaches, a real-time production issue and its solution, normalization, and ETL tool-based 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.