Data Engineer Intern

Job Description

About Amazon

Amazon is a global technology company that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. They are one of the largest and most influential companies in the world, known for their customer-centric approach and innovative technologies.

Data Engineer Intern Job Description

This is a full-time internship opportunity for students seeking a career in data engineering. Interns will work a standard 40-hour workweek, typically from 8 am to 5 pm, Monday through Friday. Specific team norms will be communicated by the manager. Interns should be available during these hours and should not have any conflicts with classes or other employment.

Location:

While you can express your preferred location during the application process, Amazon cannot guarantee your chosen location due to factors like role availability and business needs. Potential locations include:

• 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 Dates:

Summer internship start dates fall within May/June 2025.

Job Responsibilities:

As a Data Engineer Intern, you will:

• Design, implement, and automate the deployment of distributed systems for collecting and processing log events from various 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 used by engineers, analysts, and data scientists for 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 capable of processing 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.
• Assist with troubleshooting, root cause analysis, and resolving defects in case of problems.

Day-to-Day Experience:

In addition to 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.

Overall, Amazon offers interns the chance to:

• Work alongside industry-leading engineers.
• Impact the evolution of Amazon technology.
• Lead mission-critical projects early in their careers.
• Contribute to solving complex technical challenges.
• Learn in a real-world setting.

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).
• At least 18 years of age.
• Ability to work a minimum of 40 hours/week and commit to a maximum 12-week internship.
• 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 schemas (normalization, relational 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).

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 several factors including market location and may vary depending on job-related knowledge, skills, and experience.

Amazon offers a total compensation package, including equity, sign-on payments, and a full range of medical, financial, and/or other benefits.

To Apply:

This position will remain posted until filled. Applicants should apply through Amazon’s internal or external career site.