Amazon

Data Engineering Interview Experience - United States

February 8, 2022

Positive ExperienceNo Offer

Process

The process was simple. It was conducted on a platform that you had to download and involved two technical recruiters.

One asked behavioral questions, and the second interviewer asked SQL and programming questions. The questions were dictated by the interviewer, and I had to type out the answers in a text editor on the platform.

Questions

Write a function to find the factorial of a number.

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Interview Statistics

The following metrics were computed from 1 interview experience for the Amazon Data Engineering role in United States.

Success Rate

0%

Pass Rate

Amazon's interview process for their Data Engineering roles in the United States 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 United States.

Amazon Work Experiences

Great Growth, Slow Climb

Data Engineering • Current Employee

Bengaluru, Karnataka, India

Pros: Good growth prospects for the future.

Cons: Hard to climb up the ladder.

Great Growth, Slow Climb

Data Engineering • Current Employee

Bengaluru, Karnataka, India

Pros: Good growth prospects for the future.

Cons: Hard to climb up the ladder.

Learning Curve, No Wlb

Data Engineering • Current Employee

Pros: Great learning. Fast-paced company. New technology. New processes.

Cons: There is no WLB. Promotions are hard.

Learning Curve, No Wlb

Data Engineering • Current Employee

Pros: Great learning. Fast-paced company. New technology. New processes.

Cons: There is no WLB. Promotions are hard.

Good Experience, Limited Time Off

C++ Software Engineer • Former Employee

America, United States

October 19, 2025

Pros: A good, whole experience, really.

Cons: Not really having time off to fly.

Good Experience, Limited Time Off

C++ Software Engineer • Former Employee

America, United States

October 19, 2025

Pros: A good, whole experience, really.

Cons: Not really having time off to fly.

Great Growth, Slow Climb

Data Engineering • Current Employee

Bengaluru, Karnataka, India

Pros: Good growth prospects for the future.

Cons: Hard to climb up the ladder.

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.

Learning Curve, No Wlb

Data Engineering • Current Employee

Pros: Great learning. Fast-paced company. New technology. New processes.

Cons: There is no WLB. Promotions are hard.

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.

Good Experience, Limited Time Off

C++ Software Engineer • Former Employee

America, United States

October 19, 2025

Pros: A good, whole experience, really.

Cons: Not really having time off to fly.

3.0
Good Experience, Limited Time Off
C++ Software Engineer • Former Employee
America, United States
October 19, 2025
Pros: A good, whole experience, really.
Cons: Not really having time off to fly.

Amazon Interview Questions

Two Sum

Find two numbers in a given array that add up to a specific target value, and return their indices. Essentially, you need to efficiently locate the pair that satisfies the sum requirement.

Best Time to Buy and Sell Stock

You're given daily stock prices. Find the maximum profit you can make by buying and selling the stock once. You must buy before you sell.

ArraysDynamic Programming

Reorganize String

Rearrange the characters in a given string such that no two adjacent characters are the same. If such an arrangement is possible, return it; otherwise, return an empty string.

StringsGreedy AlgorithmsArraysStacksDynamic Programming

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