Data Engineer Intern
Are you applying to the internship?
Job Description
About Amazon
Amazon is a global technology company that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. It is known for its customer-centric approach and innovative technologies.
Job Description: Data Engineer Intern
Are you passionate about building data pipelines and analyzing large volumes of data? Do you want to be part of a fast-paced environment contributing to one of the most visited websites on the internet?
If so, consider joining Amazon as a Data Engineer Intern!
As a Data Engineer Intern at Amazon, you will:
• Design, implement, and automate deployment of distributed systems for collecting and processing log events from multiple sources.
• Design data schemas and operate internal data warehouses and SQL/NoSQL database systems.
• Own the design, development, and maintenance of metrics, reports, analyses, and dashboards to drive key business decisions.
• Monitor and troubleshoot operational or data issues in data pipelines.
• Drive architectural plans and implementation for future data storage, reporting, and analytical solutions.
• Develop code-based automated data pipelines capable of processing millions of data points.
• Improve database and data warehouse performance by tuning inefficient queries.
• Collaborate with Business Analysts, Data Scientists, and internal partners to identify opportunities and problems.
• Assist with troubleshooting, researching root causes, and resolving defects.
A day in the life:
Beyond working on impactful projects, you’ll have the opportunity to:
• Engage with Amazonians for personal and professional development.
• Expand your network.
• Participate in fun activities with other interns throughout the summer.
We are looking for individuals who:
• Are curious and think big.
• Want to define the world of tomorrow.
• Are ready to grow into high-impact, visionary roles.
• Embrace exciting new challenges and develop new skills.
Basic Qualifications:
• Experience with database, data warehouse, or data lake solutions.
• Experience with SQL.
• Experience with one or more scripting languages (e.g., Python, KornShell, Scala).
• Minimum 18 years of age.
• Ability to work 40 hours/week minimum and commit to a 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 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).
Location:
This role is available in various locations across the United States, including:
• 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)
You will be able to provide your location preference during the application process, but Amazon cannot guarantee fulfillment based on several factors including availability and business needs.
Start Date:
• Summer (Starts May/June 2025)
Compensation:
The base pay for this position ranges from $43.85/hr in the lowest geographic market up to $88.94/hr in the highest geographic market. Pay is based on several factors, including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company offering equity, sign-on payments, and other forms of compensation as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
To Apply:
Applicants should apply via Amazon’s internal or external career site.
