Spotify Data Engineer Interview Guide

Spotify Data Engineer interview reports describe an early recruiter conversation and a technical interview. One candidate completed two rounds: a recruiter phone screen focused on prior experience and fit, followed by a 75-minute technical interview. That candidate did not progress to later onsite interviews and expected the overall process to run three to four rounds. The available reports do not describe the later-stage content.

Prepare to explain technical choices clearly. Reported discussion topics include CAP theorem, eventual consistency, synchronous versus asynchronous APIs, static versus dynamic typing, MapReduce, SQL joins, linked-list lookup complexity, and tree structures. One report also asked candidates to compare Avro and Parquet and discuss the advantages of Iceberg. Focus on explaining what each concept means and, where relevant, the tradeoffs behind a choice.

Coding was part of the reported technical evaluation. One candidate wrote easy-to-medium SQL join questions in CoderPad and then completed a PySpark question. A separate report described a live Fibonacci implementation after theory questions. Practice producing readable code under time pressure, narrating your reasoning, and checking basic edge cases. Use these reports to target preparation for the documented screen and technical interview; they do not establish a complete blueprint for later rounds.