Amazon Data Engineer Interview Guide (2026)

Amazon data engineering interviews combine technical depth with Leadership Principle evaluation in every round. SQL is tested in every loop. LP stories determine whether a strong technical candidate gets the offer.

Amazon DE Interview FAQ

How many rounds are in an Amazon DE onsite?+

Typically 4 to 5 rounds: SQL deep dive, system design or pipeline architecture, a full behavioral round, and a Bar Raiser round. Some loops include a Python coding round as well. Every round includes at least one behavioral question tied to a Leadership Principle, so expect behavioral questions throughout the day.

What are the most important Leadership Principles for DE roles?+

Customer Obsession, Ownership, Dive Deep, Bias for Action, and Earn Trust come up most frequently in DE interviews. Ownership is particularly important because Amazon expects data engineers to monitor, maintain, and improve their pipelines without being asked. Prepare at least 2 stories for each of these 5.

Does Amazon use LeetCode-style algorithm questions for DEs?+

Rarely. Amazon DE interviews focus on SQL, data pipeline design, and Python for data manipulation. Some Bar Raisers with SWE backgrounds may ask a basic algorithm question, but this is uncommon. If your recruiter mentions a coding round, clarify whether it is Python data manipulation or algorithm-focused so you can prep accordingly.

What is the Bar Raiser, and should I be worried about it?+

The Bar Raiser is a trained interviewer from outside the hiring team who ensures Amazon's hiring bar stays high. They have veto power over the hiring decision. The round itself is not necessarily harder than others, but the Bar Raiser is experienced at detecting inflated or rehearsed answers. Be genuine, specific, and honest. If you prepared well for the other rounds, you are prepared for the Bar Raiser.

02 / Why practice

Twelve STAR Stories and a Clean Window Function

01
Active recall beats re-reading by 50%
Cognitive-science meta-reviews (Dunlosky et al., 2013) rank practice testing as a top-tier study technique, while re-reading and highlighting rank near the bottom
02
76% of hiring managers reject on the coding task, not the resume
From HackerRank's 2024 Developer Skills Report. Candidates who look strong on paper still fail the live screen if they haven't done timed, executable practice
03
Five problem shapes cover 80% of data engineer loops
Dedup, sessionization, top-N-per-group, slowly-changing dimensions, partition tricks. Writing the shapes by hand turns the unfamiliar into pattern recognition

Start practicing

Related Guides

Amazon Company Overview→

Team structure, tech stack, and what Amazon DE teams build

SQL Interview Questions→

Every SQL topic tested in DE interviews with frequency data

Behavioral Interview Questions→

STAR format stories for data engineering behavioral rounds