Data Platform & Engineering Intern

Vercel • San Francisco, CA

1d • Hybrid

About The Position

Vercel gives developers the tools and cloud infrastructure to build, scale, and secure a faster, more personalized web. As the team behind v0, Next.js, and AI SDK, Vercel helps customers like Ramp, Supreme, PayPal, and Under Armour build for the AI-native web. Our mission is to enable the world to ship the best products. That starts with creating a place where everyone can do their best work. Whether you're building on our platform, supporting our customers, or shaping our story: You can just ship things. The Data Platform & Engineering team builds and operates the infrastructure, systems, and data foundations that power decision-making and intelligent workflows across Vercel. We design and maintain the data platform that enables analytics, experimentation, internal tooling, and emerging AI-powered agents. Our work provides the context and infrastructure behind company-wide interfaces, automation, and data-driven workflows. We’re looking for a Summer Intern to join the Data Platform & Engineering team. This role is designed to flex across Data Platform Engineering and Data Engineering , depending on your strengths and interests. You’ll work on foundational systems that power company-wide agents, internal tools, analytics environments, and operational workflows. This is an opportunity to contribute to high-impact infrastructure and data products used across the organization.

Requirements

• Currently pursuing a BS or MS in Computer Science, Data Science, or a related technical field
• Strong proficiency in SQL and Python
• Solid understanding of data modeling principles and relational databases
• Familiarity with data pipelines, ETL/ELT concepts, or workflow orchestration
• Comfort working in a collaborative, fast-moving engineering environment
• Strong problem-solving skills and attention to detail
• Based in SF/Bay Area & open to commuting to SFHQ 2-3 days a week

Nice To Haves

• Experience with modern data stack tools (e.g., dbt, Airflow, Snowflake, BigQuery, etc.)
• Exposure to cloud infrastructure (AWS, GCP, or similar)
• Experience working with large datasets or analytics systems
• Interest in AI/ML systems or agent-based workflows

Responsibilities

• Build and improve data pipelines using SQL and Python
• Contribute to the development and reliability of our data platform infrastructure
• Help design and model datasets that power analytics, internal tools, and AI-driven workflows
• Improve data quality, observability, and governance across systems
• Support the infrastructure and contextual data layers that enable company-wide agents and interfaces
• Partner with engineering, product, finance, and operations stakeholders to translate business needs into scalable data solutions

Benefits

• Real-world experience building production-grade data infrastructure
• Exposure to modern data platform architecture at scale
• The opportunity to shape systems that power decision-making and AI-driven workflows across Vercel
• Mentorship from experienced data and platform engineers
• A meaningful, scoped project with measurable impact

What This Job Offers

• Career Level: Intern