Interview questions
Preparing for a data engineering interview at Netflix? This page contains 13 real interview questions sourced from verified Netflix interview experiences. Questions are sorted by frequency — the ones asked most often appear first.
Netflix data engineering interviews typically focus on System Design/Architecture, Behavioral, and General/Other. The interview bar skews toward harder problems (7 hard vs. 4 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 would you collaborate with a product team to deliver a data feature?
Tell me about a difficult challenge you faced in a data project and how you solved it
Tell me about a time when a critical pipeline failed in production. What did you do?
How do you decide what to automate or what to build from scratch?
What makes you interested in working at Netflix?
Write a SQL query to rank shows by daily viewership across different regions
How would you debug a slow-running PySpark job? What factors would you investigate?
Write a transformation in PySpark to join and clean multiple raw input sources
Describe how you would architect a pipeline to process real-time logs with schema evolution
Describe your experience with large-scale data systems
Design a data model for capturing watch sessions across multiple devices
Designing a pipeline for real-time content engagement tracking
How do you ensure your pipelines are serving reliable and correct data?
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