Process
Online Assessment (OA) / Technical Screening – Focuses on Python and SQL coding challenges, data manipulation, and analytical problem-solving.
Data Modeling Round – Tests ability to design scalable, normalized/denormalized schemas, star schemas, and handle slowly changing dimensions or business scenarios.
Pipeline Design Round – Evaluates understanding of ETL/ELT pipelines, data ingestion, transformation, orchestration (e.g., AWS Glue, Lambda, Redshift, S3, Kinesis), and performance optimization.
Behavioral Round (“Leadership Principles”) – Assesses alignment with Amazon’s 16 Leadership Principles (e.g., “Dive Deep,” “Ownership,” “Invent and Simplify”) through situation-based questions.
Questions
Design a data model for a retail store / e-commerce (vendor → warehouse → delivery) from vendor to Amazon warehouse to delivery to customer.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Amazon Data Engineer role in Dallas, Texas.
Success Rate
Amazon's interview process for their Data Engineer roles in Dallas, Texas is incredibly easy as the vast majority of engineers get an offer after going through it.
Experience Rating
Candidates reported having mixed feelings for Amazon's Data Engineer interview process in Dallas, Texas.
Amazon Work Experiences
- 5.0Loved Culture, Work Hours UnclearData Engineer • Former EmployeeDallas, Texas, United StatesAugust 5, 2025Pros: I really love the culture.Cons: I would say it's hard to think of hours of work.
- 3.0Data Platform TeamData Engineer • Current EmployeeDallas, Texas, United StatesJuly 8, 2025Pros: Lots to learn, great team.Cons: Micromanagement, no growth, and a lack of adherence to traditional Leadership Principles.
- 5.0Best Team, Great BalanceData Engineer • Current EmployeeDallas, Texas, United StatesNovember 26, 2024Pros: Best team, work-life balance.Cons: No cons so far; everything has been going well.
Amazon Interview Questions
