Data Engineer Intern
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Description
About Amazon
Amazon is a multinational technology company that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. They are known for their customer-centric approach and innovative technologies.
Description
Data Engineer Intern
What you’ll do:
• Design, implement, and automate deployment of distributed systems for collecting and processing log events from various sources.
• Design data schema and manage internal data warehouses, SQL, and NoSQL database systems.
• Take ownership of designing, developing, and maintaining metrics, reports, analyses, and dashboards used by engineers, analysts, and data scientists to make crucial business decisions.
• Monitor and troubleshoot operational or data issues within data pipelines.
• Drive architectural plans and implement future data storage, reporting, and analytical solutions.
• Develop automated data pipelines capable of processing millions of data points.
• Enhance database and data warehouse performance by optimizing inefficient queries.
• Collaborate with Business Analysts, Data Scientists, and other internal stakeholders to identify opportunities and problems.
• Assist with troubleshooting, root cause analysis, and resolving defects in case of problems.
A day in the life:
Besides working on an impactful project, you’ll have opportunities to:
• Engage with other Amazonians for personal and professional development.
• Expand your network.
• Participate in fun activities with fellow interns throughout the summer.
Why you’ll love working at Amazon:
• You’ll be part of a fast-paced environment and contribute to one of the most visited websites on the internet.
• You’ll work alongside some of the industry’s brightest engineers.
• You’ll receive mentorship and guidance from experienced professionals.
• You’ll have the chance to make a real impact on Amazon’s technology and solve complex technical challenges.
Basic Currently pursuings:
• Experience with database, data warehouse, or data lake solutions.
• Proficiency in SQL.
• Experience with one or more scripting languages (e.g., Python, KornShell, Scala).
• Must be 18 years of age or older.
• Must be able to work 40 hours per week minimum and commit to a 12-week internship maximum.
• Experience with data transformation.
• Currently enrolled in or will receive a Bachelor’s degree in Computer Science, Computer Engineering, Information Management, Information Systems, or an equivalent technical discipline with a conferral date between October 2025 – December 2028.
Preferred Currently pursuings:
• Knowledge of designing and implementing data schema, including normalization, relational model vs. dimensional model.
• Experience building data pipelines or automated ETL processes.
• Experience writing and optimizing SQL queries for large-scale, complex datasets.
• Experience with big data processing technologies (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 experience, if applicable.
• Prior experience with AWS.
• Ability to articulate the basic differences between datatypes (e.g., JSON/NoSQL, relational).
Compensation:
• Base pay ranges from $43.85/hr in the lowest geographic market up to $88.94/hr in the highest geographic market, depending on location and experience.
• Additional compensation may include equity, sign-on payments, and other benefits.
Location and Start Dates:
• This internship is offered at various locations across the United States, including Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Santa Clara, Washington D.C., Maryland, Virginia, Austin, New York City, and Minneapolis.
• The internship start date is in May or June 2025.
To Apply:
Applicants should apply via Amazon’s internal or external career site.
