Data Engineer Internship Fall 2026 (US)

Amazon internships across all seasons are full-time positions and interns should expect to work in office Monday-Friday up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes.

By applying to this position your application will be considered for all Data Engineer roles at all locations we hire for in the United States including but not limited to: Greater Seattle Area (Seattle Bellevue Redmond) Greater Bay Area (San Francisco Sunnyvale Santa Clara) Greater DMV (DC MD VA) Austin (TX) New York City (NY) Minneapolis (MN).
You will be able to provide your preference of location and start date during the application process but we cannot guarantee that we can meet your selection based on several factors including but not limited to the availability and business needs of this role. Finalization on the location and start dates available will be provided to you at the time of job offer.

Start dates for our internships in this posting include
dates in August or September 2026.

Do you love building data pipelines Are you excited by the opportunity to design tools and infrastructure needed to analyze large volumes of data Do you want to help solve big data warehousing problems and partner with stakeholders to understand how to best design and implement data solutions that provide answers to key business questions Do you want to be a part of a fast-paced environment and contribute to one of the most visited sites on the Internet

If this describes you consider joining us as an as Amazon is looking for a data engineer intern to join one our many lines of business. Amazon interns have the opportunity to work alongside the industrys brightest engineers who innovate every day on behalf of our customers. You will be matched to a manager and a mentor. You will have the opportunity to impact the evolution of Amazon technology as well as lead mission critical projects early in your career. Your work will contribute to solving some of the most complex technical challenges in the company.

Key job responsibilities
As a Data Engineer intern you will/may:
Design implement and automate deployment of our distributed system for collecting and processing log events from multiple sources.
Design data schema and operate internal data warehouses and SQL/NoSQL database systems.
Own the design development and maintenance of ongoing metrics reports analyses and dashboards that engineers analysts and data scientists use to drive key business decisions.
Monitor and troubleshoot operational or data issues in the data pipelines.
Drive architectural plans and implementation for future data storage reporting and analytic solutions.
Develop code based automated data pipelines able to process millions of data points.
Improve database and data warehouse performance by tuning inefficient queries.
Work collaboratively with Business Analysts Data Scientists and other internal partners to identify opportunities/problems.
Provide assistance with troubleshooting researching the root cause and thoroughly resolving defects in the event of a problem.

A day in the life
Our internship program provides hands-on learning and building experiences for students who are interested in a career in data addition to working on an impactful project you will have the opportunity to engage with Amazonians for both personal and professional development expand your network and participate in fun activities with other interns throughout the summer. No matter the location of your internship we give you the tools to own your internship and learn in a real-world setting.

- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Are enrolled in a academic program that is physically located in the United States
- Experience with data transformation
- Experience with database data warehouse or data lake solutions
- Experience with SQL
- Experience with one or more scripting language (e.g. Python KornShell Scala)
- Currently enrolled in or will receive a Bachelors Degree Masters Degree or advanced technical degree in Computer Science Computer Engineering Information Management Information Systems or an equivalent technical discipline with an expected conferral date between October 2026 December 2029.

- Experience with AWS
- Experience building data pipelines or automated ETL processes
- Knowledge of writing and optimizing SQL queries in a business environment with large-scale complex datasets
- Experience with big data processing technology (e.g. Hadoop or ApacheSpark) data warehouse technical architecture infrastructure components ETL and reporting/analytic tools and environments
- Experience with data visualization software (e.g. AWS QuickSight or Tableau) or open-source project
- Experience from previous technical internship(s) or demonstrated project experience
- Knowledge of basics of designing and implementing a data schema like normalization relational model vs dimensional model

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The starting pay for this position is listed below. Final starting pay will be based on factors including experience qualifications and location. Starting Day 1 of employment Amazon offers EAP Mental Health Support Medical Advice Line 401(k) matching. Learn more about our benefits at WA Seattle - 101300.00 - 160000.00 USD annually