Amazon
From Amazon's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
You'll take ownership early, collaborate across teams and disciplines, and grow your skills as you tackle new problems.
At Amazon, our tech isn't just a tool, it's your playground. Our engineers work on scalable systems, cloud services, and customer-facing products that operate at global scale. This is an environment where you learn by building. Whether you're creating cloud-native solutions, optimizing machine learning models, or building products that drive experiences for millions of customers around the globe, your work reaches the world, fast. You'll take ownership early, collaborate across teams and disciplines, and grow your skills as you tackle new problems. There's no single path forward here, with a chance to explore different directions and shape your journey as you go. This is where ambition meets opportunity and, where the impact of what you build helps define what comes next, for customers and for you.
What's in it for you? An internship at Amazon means real responsibility from day one. You'll build, test, and learn alongside people who want to see you succeed, while making an impact that reaches far beyond campus.
As a Database Engineering Intern on the Amazon Redshift team, you will have the opportunity to work alongside experienced database and software engineers to solve challenging problems in cloud database technology. You will gain hands-on experience with database systems, data warehousing, performance analysis, automation, and distributed computing while contributing to projects that impact AWS customers.
Work on a widely used cloud data warehouse product
Learn about database internals, distributed systems, and data warehousing
Work with experienced engineers and receive mentorship throughout your internship
Gain hands-on experience analyzing database workloads and performance
Develop software and automation tools that improve database engineering processes
Solve real-world technical problems at cloud scale
Learn how large-scale data systems are designed, tested, and optimized
As a Database Engineering Intern, you will work with engineers and technical teams to 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
Investigate technical issues and work with engineers to identify and evaluate potential solutions
Participate in design discussions and technical reviews
Document technical findings and communicate results clearly to team members
Collaborate with engineers to build reliable, scalable, and easy-to-use database solutions
You will receive guidance and mentorship from experienced engineers while gaining practical experience working on technologies used by customers around the world.
A day in the life
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, helping startups, enterprises, and organizations around the world build and operate their businesses in the cloud.
Inclusive Team Culture
At AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences inspire us to continue embracing our uniqueness.
Mentorship & Career Growth
Interns have opportunities to learn from experienced engineers through mentorship, knowledge sharing, and hands-on project work. We provide resources and experiences designed to help you develop your technical skills and grow as a professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home. We strive to create a supportive and flexible working environment where people can do their best work.
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed above, we encourage you to apply. If your career is just starting or you have gained experience through coursework, personal projects, research, or other non-traditional paths, we want to hear from you.
Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud. Amazon Redshift is a rapidly growing, fully managed, petabyte-scale cloud data warehouse that enables customers to analyze large volumes of structured and semi-structured data using standard SQL.
The Amazon Redshift team builds innovative cloud data warehouse technology that helps customers analyze data at massive scale. Our engineers work on challenging problems involving distributed systems, database performance, scalability, reliability, and cloud computing.
We value curiosity, learning, and a willingness to take on challenging problems. Interns are encouraged to ask questions, explore new technologies, and contribute ideas while developing their technical skills.
Currently has, or is in the process of obtaining, a Bachelor's degree or above in computer science, computer engineering, or related field
Experience in one of the following programming languages: Java, Python, Ruby, Node.js, C#, or C
Knowledge of database systems and SQL
Knowledge of computer science fundamentals in data structures, algorithm design, and problem solving
Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in technical support
Experience with written and verbal communication and presentation
Experience collaborating and influencing multiple teams across multiple organizations
Are 18 years of age or older
Experience in advanced SQL & ability to write complex queries from scratch from multiple tables
Experience scripting in one or more language (e.g. Bash, Python, Perl, Ruby), or experience in development or technical support
Familiarity with database concepts such as indexing, query optimization, transactions, or data modeling
Coursework, projects, or internship experience involving databases, distributed systems, data analytics, or cloud computing
Familiarity with data warehousing or large-scale data processing
Interest in database systems, cloud computing, or large-scale data infrastructure
Experience analyzing or benchmarking software or database performance
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The starting pay for this position is listed below. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
East Palo Alto, CA, USA - 115,685.00 USD Annually
Seattle, WA, USA - 100,640.00 USD Annually
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