Cloud Data Engineer Intern – Redshift Team

Amazon; East Palo Alto (CA); On-site; USD 116,000 - 133,000; Full time

Job summary

Amazon Redshift Internship in East Palo Alto offers hands-on experience with cloud data warehouse technology. You will work alongside engineers to learn database design, SQL development, and performance analysis while building automation tools that scale.

You will gain exposure to distributed systems, data warehousing concepts, and cloud computing within a mentorship-rich environment that supports growth and real-world impact.

Qualifications

• Pursuing or have a Bachelor's degree in CS/CE or related field.
• Experience in Java, Python, Ruby, Node.js, C#, or C.
• Knowledge of database systems and SQL.
• Strong analytical, detail-oriented, and communication abilities.
• Experience collaborating across teams and organizations.
• 18 years of age or older.

Responsibilities

• Learn and contribute to database engineering projects.
• Assist with database design, data modeling, and SQL development.
• Write and optimize SQL queries involving multiple tables and large datasets.
• Analyze database workloads and help identify opportunities for performance improvements.
• Participate in performance benchmarking and testing of database workloads.
• Develop scripts and software tools to automate repetitive engineering tasks.
• Learn about distributed database architectures, query processing, and database system internals.
• Collaborate with engineers to build reliable, scalable database solutions.
• Document technical findings and communicate results clearly to team members.

Skills

Java

Python

Ruby

Node.js

C#

C

SQL knowledge

Analytical skills

Communication skills

Cross-team collaboration

Education

Bachelor’s degree in CS/CE or related field

Tools

Bash

Python

Perl

Ruby

Job description

Amazon Redshift Internship in East Palo Alto offers hands-on experience with cloud data warehouse technology. You will work alongside engineers to learn database design, SQL development, and performance analysis while building automation tools that scale.

You will gain exposure to distributed systems, data warehousing concepts, and cloud computing within a mentorship-rich environment that supports growth and real-world impact.