People Analytics Data Engineering Intern (Winter/Spring 2027)

About Us

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 Locations: Austin Texas

Internship Details: 3 days in office (12 week internship, January - May)

About the Role

Cloudflare's People Analytics organization transforms enterprise workforce data into a governed, trusted source of truth that informs company-wide reporting, regulatory compliance, and AI-enabled decision support. As a Data Engineering Intern, you'll help build and extend a modern data warehouse that unifies HR, recruiting, and performance systems, and contribute to an AI-powered analytics agent allowing stakeholders to query workforce data in natural language.

This position suits a candidate with an understanding of SQL and data modeling principles, and an interest in data governance, quality assurance, and the responsible application of artificial intelligence within enterprise systems. The intern will collaborate closely with our data engineering team and cross-functional business partners, gaining practical experience in cloud-based data warehousing, ELT pipeline development, and applied AI infrastructure.

What You'll Build & Do

Data Pipeline Development: Design, develop, and implement ELT pipelines to integrate additional enterprise data sources into a centralized cloud data warehouse.

Data Governance: Support the implementation of historical data retention frameworks, automated data lifecycle management policies, and ongoing data quality validation processes to ensure warehouse accuracy and regulatory compliance.

Data Quality Assurance: Conduct root-cause analysis to identify and remediate data integrity issues, including calculation discrepancies and record inconsistencies.

AI-Enabled Analytics Support: Contribute to the expansion of the semantic data layer underlying an internal AI analytics platform, ensuring new capabilities are delivered in a manner that safeguards sensitive personal information.

Cross-Functional Collaboration: Partner with stakeholders across People Operations, Compensation, Talent Acquisition, and Engineering to translate business requirements into scalable, reliable data solutions.

Qualifications

Currently enrolled in a graduate program in Computer Science, Data Engineering, Statistics, or a related discipline

Demonstrated proficiency in SQL; working knowledge of Python and cloud-based data warehouse platforms (e.g., BigQuery) preferred

Strong interest in data governance, information privacy, and the responsible deployment of artificial intelligen