Data Platform Graduate Intern (Summer 2026) job opportunity at Sigma Computing.

Home Jobs In United States Of America Tag: Engineering Data Platform Graduate Intern (Summer 2026) position at Sigma Computing


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Sigma Computing Data Platform Graduate Intern (Summer 2026)
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Pattern: full-time
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Engineering

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loacation San Francisco, CA, United States Of America
loacation San Francisco,..........United States Of America

   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. What You'll Do: Own a real project from kickoff to delivery Ship work that gets used by real people—teammates, customers, or both Collaborate across Data Platform, Product, Engineering, and GTM Learn modern data tools and workflows hands-on Get mentorship from experienced engineers and analysts Iterate based on feedback and make things better What You'll Gain: Hands-on experience with a modern data stack used by real companies Exposure to how data teams operate at a fast-moving startup Skills that translate directly to Data Engineering, Analytics Engineering, and Data Science roles A portfolio piece you actually built and shipped Mentorship and connections across the org Qualifications: Familiarity and strong past professional experience with SQL A passion for enabling all users to use data with Sigma. Past experience with Sigma a big plus. 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 Bonus: experience with Python, data visualization, or ML/AI concepts About us: Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth.    Come join us! Benefits For Our Full-Time Employees: Equity                                                                                                  Generous health benefits Flexible time off policy. Take the time off you need! Paid bonding time for all new parents Traditional and Roth 401k Commuter and FSA benefits Lunch Program Dog friendly office Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow. Note: We have an in-office work environment in all our offices in SF, NYC, and London. Our Privacy Practices When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada).  Sigma’s use of AI This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making. 

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