Interview questions
Preparing for a data engineering interview at Google? This page contains 11 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. There's a solid mix of fundamental and advanced questions, making it accessible for candidates at multiple experience levels.
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 actions did you take when a deadline was missed due to code errors?
Handle midstream schema changes gracefully.
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.
Share a situation where you took ownership of a failing project.
What is your motivation to join Google?
Process a large log file (in GBs) to identify the top 10 users by event frequency. Optimize for memory efficiency and handle streaming input.
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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