OpenAI Data Engineer Interview Questions
The questions to prepare for a OpenAI Data Engineer interview. Questions from real interview reports rank first. Updated daily.
Design a scalable Dianping-style restaurant data update system that ignores user feedback and prioritizes freshness, correctness, and low-latency serving.
OpenAIEvaluates your data modeling skills for integrating billing and usage data into a unified model.
OpenAITests ability to choose the right streaming engine based on latency, state, and semantics.
OpenAITests end-to-end architecture skills for low-latency ingestion, modeling, and reporting.
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Tests coding ability to handle nested JSON parsing and metric extraction correctly.
OpenAITests streaming logic and efficient sessionization based on event timestamps.
OpenAITests understanding of window functions and when to use them for analytics queries.
OpenAITests ability to diagnose and improve SQL query performance using practical techniques.
OpenAIUse window functions to flag a sudden drop in reviewer accuracy across consecutive review days.
OpenAICompare vendor and queue performance by averaging handle time and resolution rate over a recent date range.
OpenAICompare LLM ticket-routing accuracy by model version and predicted queue using confidence filtering and joined support data.
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