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.
About the RoleWe’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.
You will:
- 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
Depending on your focus, projects may lean more toward:
- Data Engineering: modeling, transformation, orchestration, analytics enablement
- Data Platform Engineering: infrastructure, tooling, performance optimization, developer experience for data systems
- 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 Have:
- 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
- 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
Top Skills
What We Do
Vercel combines the best developer experience with an obsessive focus on end-user performance. Our platform enables development teams to collaborate on and ship their best work.
We're the creators of Next.js, the world's favorite React framework, and we're building the best tools and workflow for frontend development teams. Our goal is to bring developers the scale, reliability, and performance they need in their tools and infrastructure - so they can focus on creating delightful experiences for their users.
We are backed by the amazing team at Accel and CRV, and we're headquartered in San Francisco.
