Amazon Data Engineer Interview Questions
Prepare for this exact position with 4 real candidate reports. Review the levels, locations, interview formats, and questions that appeared most often for Amazon Data Engineer candidates.
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Amazon Data Engineer candidate reports
Search within this position by level, location, interview type, outcome, or a specific question.
4 matching interviews
Data Engineer · I-II
- 01
Describe your professional background and relevant experience
Behavioral & Leadership · Easy
- 02
Answer leadership principle questions about invention and simplification
Behavioral & Leadership · Easy
- 03
Write a SQL query involving a join operation
SQL & Databases · Easy
Data Engineer · L5
- 01
Answer SQL questions at basic and intermediate levels
SQL & Databases · Medium
- 02
Design a data model for a food truck business
Object-Oriented Design · Medium
- 03
Design an end-to-end data pipeline for petabyte-scale data with component selection
System Design · Hard
Data Engineer · L5
- 01
Design a data model for a given system.
System Design · Medium
- 02
Write SQL queries to retrieve and manipulate data based on requirements.
Coding & Algorithms · Medium
- 03
Solve an easy data structures and algorithms problem.
Coding & Algorithms · Easy
Data Engineer · L5
- 01
Answer a medium-difficulty SQL question.
SQL & Databases · Medium
- 02
Answer a complex SQL question.
SQL & Databases · Hard
- 03
Explain SQL performance tuning and query optimization strategies.
SQL & Databases · Hard
Most-asked Amazon Data Engineer questions
Ranked by how often each question appeared in reports for this exact position. Answers are written by our team.
Respond to leadership principles questions and introduce yourself.
When introducing yourself and responding to leadership principle questions, lead with impact: briefly share your role, 1-2 key achievements, and what drives you professionally. Use STAR structure for examples—anchor each story to a specific Amazon principle (Customer Obsession, Ownership, etc.). Amazon values learning and growth over perfection, so discuss challenges you've faced and how you adapted. Quantify results when possible. Show genuine curiosity: ask how the principle relates to the team's current priorities, demonstrating you're thinking about contribution beyond the interview.