Interview questions
Preparing for a data engineering interview at Google? This page contains 6 real interview questions sourced from verified Google interview experiences. Questions are sorted by frequency — the ones asked most often appear first.
Google data engineering interviews typically focus on SQL, System Design/Architecture, and Behavioral. The interview bar skews toward harder problems (3 hard vs. 1 easy), suggesting emphasis on depth and system-level thinking.
Use the difficulty filters above to focus your preparation. For each question, attempt your own answer first, then compare with our expert solution. You can also practice these questions in our AI Mock Interview Coach for real-time feedback.
How do you handle conflict with a product manager?
What excites you about working at Google?
Compare Airflow's @daily vs once trigger scheduling.
Design a daily ETL pipeline to ingest API data into BigQuery.
Design a real-time data pipeline for clickstream events. How to ensure fault tolerance? Where to implement deduplication logic? How to efficiently store 1 billion+ rows?
Handle schema evolution in production.
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