Amazon - Seattle, WA

posted 4 days ago

Full-time - Intern
Seattle, WA
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Data Engineer Summer Internship at Amazon is a full-time position designed for students pursuing a degree in a technical discipline. Interns will work on designing and implementing data solutions, building data pipelines, and collaborating with various teams to solve complex data challenges. This internship provides an opportunity to gain hands-on experience in a fast-paced environment while contributing to significant projects that impact Amazon's technology and business decisions.

Responsibilities

  • Design, implement, and automate deployment of distributed systems 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 for 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 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.

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 maximum of 12 weeks for the internship.
  • Experience with data transformation.
  • 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), 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 projects.
  • Enrolled in a Master's Degree or advanced technical degree with a conferral date between October 2025 - December 2028.
  • Previous technical internship(s), if applicable.
  • Prior experience with AWS.
  • Ability to articulate the basic differences between datatypes (e.g. JSON/NoSQL, relational).

Benefits

  • Competitive hourly wage based on geographic location and experience.
  • Opportunity to work alongside industry professionals and gain hands-on experience.
  • Access to networking opportunities and professional development activities during the internship.
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