People Analytics Data Engineering Intern (Winter/Spring 2027)

Cloudflare·Hybridjunior

En corto

→Desarrollar pipelines ELT y data warehousing en la nube para datos de RRHH.
→Trabajar en calidad de datos, gobernanza y protección de información sensible con enfoque en IA.
→Inmersión en un equipo de datos con impacto real en decisiones empresariales y AI responsibly.

Proficiency in English is required.

✓ Gratis para empezar✓ Corre en tu navegador✓ Primer dossier sin tarjeta✓ Listo en ~1 minuto

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Tu primer dossier es gratis.

Las preguntas que te van a hacer

1. ¿Cómo diseñarías una pipeline ELT para integrar datos de reclutamiento desde una herramienta externa al data warehouse?

🔒 +7 preguntas más

Sin tarjeta. Subís tu CV y en ~1 minuto tenés el dossier completo.

🎧¿Llegás a la entrevista? Llevá el copiloto. Nuestra extensión escucha la entrevista en vivo y te muestra anclas de 3-4 palabras desde tu CV y tu preparación — mirás, conectás, hablás. Gratis. Ver la extensión →

💵 USD · Remote · No visa

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¿Qué piden?

✓Conocimiento sólido de SQL
✓Entendimiento de principios de modelado de datos
✓Interés en gobernanza y calidad de datos
✓Capacidad para colaborar con equipos multi-disciplinarios
✓Disponibilidad para 12 semanas presenciales en Austin
✓Incluye conocimiento básico de ELT y cloud data warehouses

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

SQLCloud Data WarehouseELTData ModelingData GovernanceData Quality AssuranceData Lifecycle ManagementAI-Powered AnalyticsNatural Language QueryingCross-Functional Collaboration

¿A quién escribirle en Cloudflare?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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 Peopl

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