Amazon · 8 hours ago
Data Engineer Co-op Internship - 2026 (US)
Seattle, WA
Internship
Onsite
Intern
$101K/yr - $160K/yr
Start in 2026Amazon is a leading technology company seeking a Data Engineer Co-op Intern to join their team. The role involves designing and implementing data pipelines, collaborating with various stakeholders, and contributing to the development of data solutions that support business decisions.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
No H1B
Responsibilities
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 to the team with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem
Qualification
Required
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
Are enrolled in a co-op program at your university
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 working towards a Bachelor's Degree in Statistics, Business Analytics, Data Analytics, Data Science, Computer Science, or other equivalent discipline, with an expected conferral date between October 2026 – December 2029
Preferred
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
Enrolled in a Master's Degree or advanced technical degree with an expected conferral date between October 2026 – December 2029
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)
Benefits
EAP
Mental Health Support
Medical Advice Line
401(k) matching
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
Founded in 1994
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-24
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