Data Engineer Intern
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Job Description
About Amazon
Amazon is one of the world’s largest online retailers and a leading provider of cloud computing services. The company is known for its customer-centric approach, innovation, and commitment to providing a wide range of products and services.
Job Description
Data Engineer Intern
Location:
• 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)
Start Date: Summer (Starts May/June 2025)
About the Role:
As a Data Engineer Intern, you will play a crucial role in designing, implementing, and automating data pipelines that collect, process, and analyze large volumes of data. You will work on projects that have a direct impact on Amazon’s business decisions and contribute to the company’s growth.
Key Responsibilities:
• Design and Develop Data Pipelines: Design, implement, and automate deployment of distributed systems for collecting and processing log events from multiple sources.
• Data Schema Design: Design data schema and operate internal data warehouses and SQL/NoSQL database systems.
• Metrics and Reporting: Own the design, development, and maintenance of metrics, reports, analyses, and dashboards used by engineers, analysts, and data scientists.
• Data Pipeline Monitoring: Monitor and troubleshoot operational or data issues in the data pipelines.
• Data Solutions Architecture: Drive architectural plans and implementation for future data storage, reporting, and analytic solutions.
• Code Development: Develop code-based automated data pipelines capable of processing millions of data points.
• Database Optimization: Improve database and data warehouse performance by tuning inefficient queries.
• Collaboration: Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities and problems.
• Troubleshooting: Provide assistance with troubleshooting, researching root causes, and resolving defects.
A Day in the Life:
In addition to working on impactful projects, you will participate in professional and personal development activities, expand your network, and engage in fun activities with other interns. You will have the opportunity to learn in a real-world setting and contribute to the evolution of Amazon technology.
Qualifications:
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)
• 18 years of age or older
• 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 designing and implementing data schema (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)
• Prior experience with AWS
• Ability to articulate the basic differences between datatypes (e.g. JSON/NoSQL, relational)
Compensation:
• The base pay for this position ranges from $43.85/hr in our lowest geographic market up to $88.94/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.
• Amazon offers a total compensation package that includes equity, sign-on payments, medical, financial, and other benefits.
To Apply:
Applicants should apply via Amazon’s internal or external career site.
Diversity and Inclusion:
Amazon is committed to a diverse and inclusive workplace and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
