LinkedIn Data Engineer Interview Questions
The questions to prepare for a LinkedIn Data Engineer interview. Questions from real interview reports rank first. Updated weekly.
Flatten a deeply nested JSON-like object into path-value pairs using recursion and deterministic key construction.
LinkedInTests ability to design time and memory efficient streaming algorithms.
LinkedInTests sliding window technique and correctness reasoning for substring problems.
LinkedInDesign a real-time feature pipeline processing 120K events/sec into low-latency feature tables and warehouse models with replay and quality controls.
LinkedInHow to choose between row-oriented and column-oriented formats across different stages of a data pipeline.
LinkedInTests system design thinking for scalable data platform components and operational considerations.
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Tests ability to write correct, efficient SQL joins for engagement analytics at scale.
LinkedInTests ability to apply partitioning and indexing strategies to meet latency and throughput goals.
LinkedInCompute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
Meta
Spotify
Meta ITRank LinkedIn members by interaction count within each region and return the top five using aggregation and ROW_NUMBER.
LinkedInRank Balyasny research models by average return within each asset class using DENSE_RANK and aggregation.
Balyasny Asset Management