Real, anonymous reports from people who interviewed for Data Engineer at Databricks, newest first and distilled into what to expect across the loop.
The interview began with resume-based questions, then moved into detailed discussion of the candidate’s projects, technical concepts, and development challenges, including some theoretical topics and a few basic aptitude/problem-solving questions.
After resume screening, a recruiter call (~30 minutes) covered background, motivation, role preferences, and logistics, sometimes including early discussion of compensation. The summary also described the overall process as fit-and-scheduling focused.
The interview process typically begins with a recruiter call that focuses on the candidate's background, motivations, and logistics, sometimes touching on compensation expectations.
Candidates can expect a structured technical assessment that includes SQL and Python problem-solving questions, as well as discussions on system architecture and algorithms.
Interviews often involve detailed discussions about the candidate's past projects and technical concepts, with an emphasis on problem-solving and development challenges.
The on-site interview typically consists of multiple rounds, including coding challenges, system design discussions, and a managerial interview, which collectively assess both technical and soft skills.
Candidates reported receiving feedback throughout the process, which can provide insights into areas of improvement, though some noted discrepancies in assessment evaluations.
The entire interview process generally spans about four weeks, encompassing various stages from initial screening to final decision-making.