Company Guide·15 min read·
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.
Amazon DE Interview Process
Amazon's data engineering interview typically consists of:
1. **Phone Screen** (45 min): SQL + behavioral
2. **Technical Phone Screen** (60 min): Spark/Python coding
3. **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:
1. Window functions (RANK, ROW_NUMBER) — very high frequency
2. Data pipeline design for large-scale ETL
3. Spark optimization (shuffle, skew handling)
4. Leadership Principles behavioral questions
5. 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
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