This is by far the best and most organized interview process.
Applied through LinkedIn and a recruiter reached out, setting a time to go over the process. Had an initial screening with the hiring manager. Once I cleared this, I was scheduled for a virtual onsite, which included 4 rounds.
Each round was with a data engineering team member or manager. The rounds covered my technical and architectural understanding of big data and streaming data pipelines. Once I cleared this, I had a final discussion with senior management.
One thing that I was most impressed with is that each team member whom I spoke to had a clear understanding of how the work in the data engineering space is going to happen. Everyone was welcoming and answered my questions. They genuinely make you feel that you are valued and that they are interested in you.
Their recruiters are one of the best in accommodating and following up with timely updates, even before I reached out to them. When I started the interview process with Stash, I saw some comments around recruiters ghosting candidates on Glassdoor and set my expectations accordingly. But my interview experience completely changed that. Also, Stash's data engineering tech stack is very promising, interesting, and offers a lot of scope.
Questions around my experience and around streaming data pipelines.
The following metrics were computed from 1 interview experience for the Stash Senior Data Engineer role in New York, New York.
Stash's interview process for their Senior Data Engineer roles in New York, New York is incredibly easy as the vast majority of engineers get an offer after going through it.
Candidates reported having very good feelings for Stash's Senior Data Engineer interview process in New York, New York.