Data Engineer Co-op Winter Internship 2025 (US)

About the position

The Data Engineer Co-op position at Amazon is a full-time role designed for students currently enrolled in a co-op program. This opportunity allows co-op students to work alongside experienced engineers, contributing to the design and implementation of data solutions that address complex business challenges. The role involves building data pipelines, managing data warehouses, and collaborating with various stakeholders to drive data-driven decisions. Co-op students will gain hands-on experience in a fast-paced environment, impacting the evolution of Amazon's technology.

Responsibilities

• Design, implement, and automate deployment of distributed systems for collecting and processing log events.
• 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.
• 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 and resolving defects.

Requirements

• Experience with database, data warehouse or data lake solutions.
• Experience with SQL.
• Experience with one or more scripting languages (e.g., Python, KornShell, Scala).
• Must be 18 years of age or older.
• Ability to work 40 hours/week minimum and commit to a 6 month internship maximum.
• Experience with data transformation.
• Currently enrolled in a co-op program in the US.
• Currently enrolled in or will receive a Bachelor's in Computer Science, Computer Engineering, Information Management, Information Systems, or an equivalent technical discipline with a conferral date between October 2025 - December 2028.

Nice-to-haves

• Knowledge of basics of designing and implementing a data schema like normalization, relational model vs dimensional model.
• Experience building data pipelines or automated ETL processes.
• Experience writing and optimizing SQL queries with large-scale, complex datasets.
• Experience with big data processing technology (e.g., Hadoop or ApacheSpark).
• Experience with data visualization software (e.g., AWS QuickSight or Tableau).
• Previous technical internship(s), if applicable.
• Prior experience with AWS.
• Can articulate the basic differences between datatypes (e.g. JSON/NoSQL, relational).
• Enrolled in a Master's Degree or advanced technical degree with a conferral date between October 2025 - December 2028.

Benefits

• Competitive hourly wage based on geographic location.
• Equity and sign-on payments may be provided as part of the total compensation package.
• Full range of medical, financial, and other benefits.