Data Engineer Intern (Summer 2026)
Confirmed live in the last 24 hours
Cloudflare
Job Description
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available location(s): Austin, US
About the team
The Data Intelligence & Analytics team at Cloudflare is responsible for building a centralized analytics platform and cloud data lake that enables our internal Business Partners and Product teams with actionable insights and also provides a 360 view of our business. Our goal is to democratize data, support Cloudflare’s critical business needs, provide reporting and analytics via self-service tools to fuel existing and new business critical initiatives.
About the role
This internship is targeting students with experience and interest in Data Engineering.
The Data Engineer Intern delivers full-stack data solutions across the entire data processing pipeline. This role relies on systems engineering principles to design and implement solutions that span the data lifecycle - collect, ingest, process, store, persist, access, and deliver data at scale and at speed. It includes knowledge of local, distributed, and cloud-based technologies, data virtualization, and all security and authentication mechanisms required to protect the data.
What you'll do
- Work through all stages of a data solution lifecycle – analyze / profile data, create conceptual, logical and physical data model designs, architect and design ETL, reporting and analytics
- Knowledge of modern enterprise data architectures, design patterns, and data tool sets and the ability to apply them
- Identify key metrics and build exec-facing dashboards to track progress of the business and its highest priority initiatives
- Identify key business levers, establish cause & effect, perform analysis, and communicate key findings to various stakeholders to facilitate data driven decision-making
- Work closely across the business teams like Finance, Sales, Marketing, Legal, Customer Support, Product, Engineering
Examples of desirable skills, knowledge, and experience
- Currently enrolled in M.S in Computer Science, Engineering or related STEM field
- Experience working with Go, Python, SQL, Java, or equivalent programming languages
- Experience working with distributed systems (Spark etc.)
- Hands-on experience in data pipelines/ frameworks development
- Ability and interest to learn new skills and technologies quickly
- Excellent communication and problem-solving skills
- Ability to commit to a 12 week summer internship
- In office 3-4 days a week in Austin, TX
Bonus Points:
- Familiarity with container based deployments such as Docker and Kubernetes
- Experience with JavaScript, Typescript,
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