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Data Engineer Internship – 2024 (US)

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Amazon

Jan 17, 2024

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
  • Seattle

Requirements

  • 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 conferral date between October 2024 and December 2027 .
  • Experience with data transformation.
  • Experience with database, data warehouse or data lake solutions.
  • Experience with SQL.
  • Experience with one or more object-oriented programming languages (e.g., Python).
  • PREFERRED QUALIFICATIONS:
  • Enrolled in a Master’s Degree or advanced technical degree
  • Previous technical internship(s), if applicable
  • Prior experience with AWS
  • 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)
  • Experience building data pipelines or automated ETL processes
  • Knowledge of 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, and reporting/analytic tools and environments
  • Experience with data visualization software (e.g., AWS QuickSight or Tableau)

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 to the team with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem.

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

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