Data Platform & Engineering Intern

About Vercel

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.

About The Team

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 Role

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.

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

What We’re Looking For

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

What You’ll Gain

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