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# Database Engineer, Amazon Redshift

- **Company:** Amazon.com, Inc.
- **Location:** East Palo Alto, CA, United States
- **Experience:** Expert
- **Salary:** $143,500.0 - $194,200.0
- **Contract:** Internship / Graduate position
- **Skills:** Big Data, Databases, Data Architecture, Data Warehousing, Relational Databases, Database Design, Distributed Data Store, Software Engineering, SQL Databases, Systems Architecture, Scripting, Information Technology, Amazon Redshift
- **Published:** June 18, 2026
- **Apply:** https://www.amazon.jobs/en/jobs/10451806/database-engineer-amazon-redshift

## About the Role

Bachelor's degree in Computer Science, Engineering, a related technical field or equivalent

 - 5+ years of non-internship professional software development experience
 - Experience in writing complex, highly-optimized SQL queries across large datasets
 - Knowledge of overall system architecture, scalability, reliability, and performance in a database environment
 - Experience with large-scale data analytics and data warehousing, Experience in software development, or experience that includes strong analytical skills, attention to detail, and effective communication abilities
 - Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in external enterprise customer-facing role as a technical lead, with strong oral and written communication skills, presenting to both large and small audiences

## Description

Demonstrate in-depth knowledge of database or data warehouse systems internals including relational database design and distributed databases/MPP architectures

 - Lead strategic data architecture & database design discussions with customers
 - Drive and oversee workload analysis, performance benchmarking and troubleshooting efforts with customers in their environments
 - Clearly communicate deep technical topics to customers
 - Influence the engineering team roadmap towards building a product that is scalable, easy to use and build on, and addresses customer needs
 - Conduct POC's with customers in competitive situations
 - Leverage good coding/scripting skills to automate tasks and improve workload analysis mechanisms


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