Top 50
Prep plan
Updated weekly · Last refresh Oct 17

Netflix Data Engineer Interview Questions

The questions to prepare for a Netflix Data Engineer interview. Questions from real interview reports rank first. Updated daily.

50questions
~11htotal time
Track your progressSign up free to work through all 50 questions and resume where you left off.
Start practicing free →
1
SQL & Data ManipulationStart here. 14 questions · ~188 min
Netflix Movie Launch PipelineMedium
Practice

Aggregate 30-day Netflix movie performance metrics while retaining movies with no viewers.

Joinsbusiness problemAggregationsNetflix
Playback Metrics SQLMedium
Practice

Join playback facts to users and titles, then calculate total watch duration for each user-title pair.

fact tablesJoinsAggregationsNetflix
More SQL & Data Manipulation questions with a free account
2
Coding14 questions · ~188 min
Dictionary to Metric UDFEasy
Practice

Transform a dictionary of numeric measurements into an average metric while safely handling missing values.

aggregationCodingData StructuresNetflix
Distinct Word CountMedium
Practice

Count case-insensitive distinct words in a long sentence using tokenization and a hash set.

deduplicationCodingAlgorithmsNetflix
More Coding questions with a free account

Sign up to see every question

Create a free account to unlock this list and practice real interview questions.

Get my prep plan
3
System Design3 questions · ~40 min
Ingest Design on WhiteboardHard

Design a reliable pipeline that ingests streaming sources and lands validated data in a final database.

distributed systemsdata ingestiondata streamsNetflix
Spark Broadcasts and TransformationsHard

Explain Spark broadcast variables and distinguish narrow from wide transformations, including shuffle and stage implications.

distributed systemsdata ingestioncomputational costNetflix
More System Design questions with a free account
4
Pipelines15 questions · ~201 min
Python for Data PipelinesHard

Explain how you used Python to design, implement, validate, and operate production data pipelines.

data pipelinesETLteamworkNetflix
Depth of DE Design TradeoffsHard

Evaluate ETL, ELT, batch, and streaming designs, including tradeoffs in reliability, latency, cost, quality, and recovery.

Data Qualitydata pipelineTrade-offsNetflix
More Pipelines questions with a free account
5
Behavioral & Leadership4 questions · ~54 min
More Behavioral & Leadership questions with a free account
The finish line: interview-readyComplete all 50 questions to finish this plan.