Data Engineer Internship - 2027 (US)

Amazon is hiring a Data Engineer Internship - 2027 (US) in Seattle, United States. It pays $107k a year and Level rates it ; you can apply on Level.

Level's read on this job

Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include data engineering, big data and data warehousing.
Level files it as an internship.
Level lists 22,000+ other open roles at Amazon.

AI in this role

Design and build data pipelines, tools, and infrastructure to analyze large volumes of data as a data engineering intern.

data-engineeringbig-datadata-warehousingpipelines

Shape what comes next | Discover careers in Tech

At Amazon, our tech isn't just a tool, it's your playground. Our engineers work on scalable systems, cloud services, and customer-facing products that operate at global scale. This is an environment where you learn by building. Whether you're creating cloud-native solutions, optimizing machine learning models, or building products that drive experiences for millions of customers around the globe, your work reaches the world, fast. You'll take ownership early, collaborate across teams and disciplines, and grow your skills as you tackle new problems. There's no single path forward here, with a chance to explore different directions and shape your journey as you go. This is where ambition meets opportunity and, where the impact of what you build helps define what comes next, for customers and for you.

What's in it for you?

An internship at Amazon means real responsibility from day one. You'll build, test, and learn alongside people who want to see you succeed, while making an impact that reaches far beyond campus.

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.

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 the following periods:
1. Winter (Starts January/February 2027)
2. Summer (Starts May/June 2027)
3. Fall (Starts August/September 2027)

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 cutting edge 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 industry’s 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 engineering. In 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.

Basic qualifications

- 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 Bachelor’s Degree, Master's 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 2027 – December 2030.

Preferred qualifications

- 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
- Previous technical internship(s), if applicable
- Can articulate the basic differences between datatypes (e.g. JSON/NoSQL, relational)
- Understand the basics of designing and implementing a data schema (e.g., 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The starting pay for this position is listed below. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.

Seattle, WA, USA - 106,590.00 USD Annually

How we rate this

Data Engineer Internship - 2027 (US) at Amazon rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Data Engineer Internship - 2027 (US) is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $107k a year.
The role is based in US, WA, Seattle.
The job was posted on September 18, 2026.
Seniority: intern.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringBig DataData WarehousingPipelines

Also common in data engineer jobs at this level

Spark Airflow Databricks Azure Google Cloud Snowflake

Pay

This job starts at: $107k
Typical data engineer job: $150k

This posting starts 29% below the typical data engineer job. See data engineer jobs

Questions you could be asked

Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where big data was part of your work. What did you do?
Tell me about a project where data warehousing was part of your work. What did you do?
Tell me about a project where pipelines was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Data Engineering, Big Data, Data Warehousing, and Pipelines. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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