Data Engineering Interview Experience - Seattle, Washington
November 30, 2025
Positive ExperienceNo Offer
Process
I applied through an employee referral. The process took 4 weeks.
Was asked to code LLD of Battleship game, two medium difficulty Leetcode DSA questions, HLD and Data Model conceptual flow of designing a hospital organization at a global level, Data Modeling technical round, and a Bar-Raiser round.
Questions
- Code LLD of Battleship game (OOPS)
- Two medium difficulty Leetcode DSA questions (Linked List and Binary Search)
- HLD and Data Model conceptual flow of designing a hospital organization at a global level
- Data Modeling technical round with requirements gathering (functional & non-functional), business entities, attributes and their data types, normalization (with reasoning), EER/ERD flow (Typed would work so practice required), Cardinality, partitioning and indexing (primary/secondary), sharding (maybe), and similar data engineering principles and best practices along with trade-offs
- Bar-Raiser round with experienced employee based on Amazon LPs
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Interview Statistics
The following metrics were computed from 1 interview experience for the Amazon Data Engineering role in Seattle, Washington.
Success Rate
0%
Pass Rate
Amazon's interview process for their Data Engineering roles in Seattle, Washington is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for Amazon's Data Engineering interview process in Seattle, Washington.
Amazon Work Experiences
3.0
Learning Curve, No Wlb
Data Engineering • Current Employee
June 24, 2021
Pros: Great learning.
Fast-paced company.
New technology.
New processes.
Cons: There is no WLB.
Promotions are hard.
5.0
Great Growth, Slow Climb
Data Engineering • Current Employee
Bengaluru, Karnataka, India
July 16, 2022
Pros: Good growth prospects for the future.
Cons: Hard to climb up the ladder.
3.0
There is always something new to learn and explore at work
Software Engineer • Former Employee
Seattle, Washington, United States
April 11, 2024
Pros: Amazonians always tend to follow and apply the Leadership Principles in real-time work.
Cons: Too much work pressure. No work-life balance.
- 3.0Learning Curve, No WlbData Engineering • Current EmployeeJune 24, 2021Pros: Great learning. Fast-paced company. New technology. New processes.Cons: There is no WLB. Promotions are hard.
- 5.0Great Growth, Slow ClimbData Engineering • Current EmployeeBengaluru, Karnataka, IndiaJuly 16, 2022Pros: Good growth prospects for the future.Cons: Hard to climb up the ladder.
- 3.0There is always something new to learn and explore at workSoftware Engineer • Former EmployeeSeattle, Washington, United StatesApril 11, 2024Pros: Amazonians always tend to follow and apply the Leadership Principles in real-time work.Cons: Too much work pressure. No work-life balance.
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