People Analytics Data Engineer Intern

## 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 intelligence systems. - Excellent attention to detail and a demonstrated ability to methodically identify and resolve data quality issues. ## Internship Details 12-week internship, January–May. The internship requires three days in the office. Available location: Austin, Texas.