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 known for their customer-centric approach, innovation, and rapid growth. Amazon is committed to a diverse and inclusive workplace and is an equal opportunity employer.

Job Description: Data Engineer Intern

This is a full-time internship position with a typical work schedule of Monday-Friday, 8am-5pm, for up to 40 hours per week. Specific team norms may be communicated by your manager.

Internship Requirements:

• Applicants must have a minimum of one quarter/semester/trimester remaining in their studies after the internship concludes.
• No conflicts with classes or other employment during the Amazon workday.

Location:

• Openings are available across multiple US locations, including: Greater Seattle Area, Greater Bay Area, Greater DMV, Austin, New York City, and Minneapolis.
• You can express your preferred location and start date during the application process, but there are no guarantees.
• Final location and start dates will be communicated during the job offer process.
• Internship start dates for this posting are during the summer, starting in May/June 2025.

Do you thrive in a fast-paced environment and enjoy working with data?

If you are passionate about building data pipelines, designing data analysis tools and infrastructure, and solving complex data warehousing problems, this internship might be a great fit for you.

As a Data Engineer Intern at Amazon, you will have the opportunity to:

• Work alongside experienced engineers and contribute to the evolution of Amazon technology.
• Lead mission-critical projects and solve some of the most complex technical challenges within the company.
• Gain valuable real-world experience and develop new skills through hands-on projects.
• Be mentored by industry professionals and build a strong network within the company.

Key Responsibilities:

• Design, implement, and automate deployment of distributed systems for collecting and processing log events from various sources.
• Design data schema and operate internal data warehouses using SQL and 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 and data issues within the data pipelines.
• Develop architectural plans and implementations for future data storage, reporting, and analytic solutions.
• Create code-based automated data pipelines capable of processing millions of data points.
• Optimize database and data warehouse performance by tuning inefficient queries.
• Collaborate with Business Analysts, Data Scientists, and other internal partners to identify opportunities and problems.
• Assist with troubleshooting, root cause analysis, and resolving defects.

Day-to-Day:

In addition to your impactful project work, you will have the opportunity to:

• Engage with other Amazonians for personal and professional development.
• Expand your network and participate in fun activities with fellow interns throughout the summer.

What We Look For:

• Basic Qualifications:
• Experience with database, data warehouse, or data lake solutions.
• Proficiency in SQL.
• Familiarity with one or more scripting languages (e.g., Python, KornShell, Scala).
• 18 years of age or older.
• Commitment to work a minimum of 40 hours per week for a 12-week internship.
• Experience with data transformation.
• Currently enrolled in or will receive a Bachelor’s degree in Computer Science, Computer Engineering, Information Management, Information Systems, or a related technical discipline with a conferral date between October 2025 and December 2028.
• Preferred Qualifications:
• Understanding of designing and implementing data schemas (e.g., normalization, relational vs. dimensional models).
• Experience building data pipelines or automated ETL processes.
• Expertise in writing and optimizing SQL queries with large-scale datasets.
• Experience with big data processing technologies (e.g., Hadoop or Apache Spark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments.
• Familiarity 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 and December 2028.
• Previous technical internship experience.
• 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.
• Pay is based on factors such as market location, job-related knowledge, skills, and experience.
• Amazon offers a total compensation package that may include equity, sign-on payments, and other benefits in addition to a comprehensive range of medical, financial, and other benefits.

To Apply:

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