Amazon Data Engineer Interview Questions 2026 — Complete Guide
Everything you need to know about the Amazon data engineering interview loop: process, questions, and preparation strategy.
Key Takeaways
- ✓Amazon DE Interview Process
- ✓Most Asked Questions at Amazon
- ✓Tips for Success
Amazon DE Interview Process
Amazon's data engineering interview typically consists of:
- Phone Screen (45 min): SQL + behavioral
- Technical Phone Screen (60 min): Spark/Python coding
- On-site Loop (4-5 rounds):
- SQL Deep Dive
- System Design
- Coding (Python/PySpark)
- Behavioral (Leadership Principles)
- Hiring Manager
Most Asked Questions at Amazon
Based on our frequency data from real Amazon interviews:
- Window functions (RANK, ROW_NUMBER) — very high frequency
- Data pipeline design for large-scale ETL
- Spark optimization (shuffle, skew handling)
- Leadership Principles behavioral questions
- SQL query optimization
Amazon places heavy emphasis on Leadership Principles — prepare specific STAR examples for each one.
Tips for Success
- Always tie technical answers back to business impact (Amazon loves metrics)
- For system design, think about AWS-native solutions (Glue, Redshift, Kinesis, S3)
- Practice explaining your thought process out loud
- Prepare 2 stories per Leadership Principle
Reviewed by Aditya Kumar · DataEngPrep Editorial Team
Drafted by the editorial team and signed off by Aditya Kumar, founder and lead editor at DataEngPrep. Questions are sourced from real interviews, initial answers are drafted with AI assistance, and every section is human-edited for technical accuracy, relevance to current FAANG hiring rubrics, and clarity. Articles are reviewed periodically as interview patterns evolve.
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