INTERNSHIP DETAILS

Data Platform & Engineering Intern

CompanyVercel
LocationSan Francisco
Work ModeOn Site
PostedFebruary 23, 2026
Internship Information
Core Responsibilities
The intern will build and improve data pipelines using SQL and Python, contributing to the development and reliability of the data platform infrastructure. Responsibilities also include designing and modeling datasets for analytics, internal tools, and AI-driven workflows, while improving data quality and governance.
Internship Type
full time
Company Size
872
Visa Sponsorship
No
Language
English
Working Hours
40 hours
Apply Now →

You'll be redirected to
the company's application page

About The Company
Vercel provides the developer tools and cloud infrastructure to build, scale, and secure a faster, more personalized web. Customers like Under Armour, Nintendo, The Washington Post, and Zapier use Vercel to build dynamic user experiences on the web.
About the Role

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

Key Skills
SQLPythonData ModelingData PipelinesETL/ELTWorkflow OrchestrationData QualityObservabilityGovernanceInfrastructurePerformance OptimizationDeveloper ExperiencedbtAirflowSnowflakeBigQuery
Categories
Data & AnalyticsEngineeringSoftwareScience & Research