Data Platform Graduate Intern (Summer 2026)

Sigma Computing•San Francisco, CA

6d•Onsite

About The Position

About the Team The Data Platform team powers Sigma's internal analytics and demo infrastructure. We're a cross-functional team of engineers and analysts who build the data systems, pipelines, and experiences that help Sigma run—and help our customers see what's possible. We're fun, we move fast, and we get s# done. About the Role As a Data Platform Graduate Intern, you'll dive into real work that matters. You won't be fetching coffee—you'll be building, shipping, and collaborating across Product, Engineering, and GTM teams. You'll be matched to one of our disciplines based on your interests and skills, but the work is inherently cross-functional. Expect to learn from (and teach) people across the org. We're hiring across several focus areas within Data Platform: Demo Engineering: Build the experiences that show customers what Sigma can do. You'll design and prototype workbooks, dashboards, and data apps that showcase our newest capabilities—AI Query, Ask Sigma, writeback, no-code apps, and more. You'll work with sample datasets, manage demo environments, and create reusable assets the field teams actually use. Data Engineering: Architect and scale the pipelines that power our analytics. You'll work with our modern data stack (Fivetran, dbt, Snowflake, Sigma, Hightouch, Metaplane) to build foundational data infrastructure, improve data governance, and ensure our key data assets are reliable and available. GTM Engineering: Supercharge our go-to-market motion with data enrichment. Think Clay-style workflows—enriching leads, accounts, and signals to help Sales and Marketing work smarter. You'll build and automate enrichment pipelines that turn raw data into actionable intelligence. Analytics Engineering: Transform raw data into useful products. You'll work in dbt to build semantic layers, data models, and analytics-ready datasets that teams across Sigma rely on to make decisions. Data Science: Build intelligent systems with ML and AI. You'll explore Snowflake agents, semantic views, NLP, and other cutting-edge tech to create smart, automated solutions. If you're excited about applied ML in a modern data stack, this is your track.

Requirements

Familiarity and strong past professional experience with SQL
A passion for enabling all users to use data with Sigma.
Interest and experience with modern data tools—Snowflake, dbt, Sigma, or similar
Curiosity about how data systems work end-to-end
Strong communication skills—you'll be collaborating constantly
Adaptable, self-directed, and excited to figure things out