Data Engineer Intern

Job Description

About Amazon

Amazon is a multinational technology company that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. It is known for its vast online marketplace, its cloud computing platform Amazon Web Services (AWS), and its Prime membership program, offering free shipping and other benefits. Amazon is one of the world’s most valuable companies and is a significant player in the global economy.

Job Description

Data Engineer Intern

Full-Time, Summer 2025 (Starts May/June 2025)

Locations: Greater Seattle Area (Seattle, Bellevue, Redmond), Greater Bay Area (San Francisco, Sunnyvale, Santa Clara), Greater DMV (DC, MD, VA), Austin (TX), New York City (NY), Minneapolis (MN).

Do you love building data pipelines? Are you excited by the opportunity to design tools and infrastructure needed to analyze large volumes of data? If so, this internship may be for you!

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 used by engineers, analysts, and data scientists.
• 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.
• Collaborate 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 in the event of a problem.

Day-to-Day:

• Work on an impactful project.
• Engage with Amazonians for both personal and professional development.
• Expand your network.
• Participate in fun activities with other interns throughout the summer.

Qualifications:

Basic Qualifications:

• Experience with database, data warehouse or data lake solutions
• Experience with SQL
• Experience with one or more scripting language (e.g., Python, KornShell, Scala)
• 18 years of age or older
• Ability to work 40 hours/week minimum and commit to 12 week internship maximum
• 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.

Preferred Qualifications:

• 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 project
• 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)

Compensation:

• Base pay range: $43.85/hr – $88.94/hr (depending on market location)
• Total compensation may include equity, sign-on payments, and other benefits.

To Apply:

• Apply via Amazon’s internal or external career site.
• Provide location and start date preferences during the application process.

Note: The location and start date cannot be guaranteed and will be finalized at the time of the job offer.