Databricks Interview Questions
Candidates have reported 159 Databricks interview questions to PracHub, split almost evenly between the two technical stages: 64 come from technical screens and 58 from onsites, with the rest from HR screens and online assessments. Software Engineer dominates at 106 questions, followed by Data Scientist at 13 and Machine Learning Engineer at 8. Coding and Algorithms is the largest category at 60, then System Design at 31, Software Engineering Fundamentals at 14, and Behavioral and Leadership at 10. The difficulty mix leans medium with 78 questions, against 50 rated hard and only 4 easy. Seniority tagging is broad: 30 questions are marked Senior+, with New Grad and Intern entries too. The recurring shape is a data-platform engineer's day job. Candidates report building a constant-time snapshot set iterator, implementing a concurrent buffered file logger, adding sliding-window get and put activity metrics to a key-value store, designing a durable concurrent event writer, and reasoning through chat deletion semantics under concurrent sends. Plain algorithm work shows up too, such as finding the first anagram window in a string. There were 24 added in the last 90 days. Alongside the questions sit 22 first-hand interview experiences, including a hiring-committee rejection after strong-hire feedback and a screen stalled on headcount, plus a Software Engineer interview guide.
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