People Analytics Data Engineering Intern (Winter/Spring 2027)New

The opportunity

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…

What you'll 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.

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

What they're looking for

  • 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.