Data Platform Graduate Intern (Summer 2026)

About the Team

The Data Platform team powers Sigmas internal analytics and demo infrastructure. Were a cross-functional team of engineers and analysts who build the data systems pipelines and experiences that help Sigma runand help our customers see whats possible. Were fun we move fast and we get s#** done.

About the Role

As a Data Platform Graduate Intern youll dive into real work that matters. You wont be fetching coffeeyoull be building shipping and collaborating across Product Engineering and GTM teams. Youll 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.

Were hiring across several focus areas within Data Platform:

• Demo Engineering: Build the experiences that show customers what Sigma can do. Youll design and prototype workbooks dashboards and data apps that showcase our newest capabilitiesAI Query Ask Sigma writeback no-code apps and more. Youll 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. Youll 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 workflowsenriching leads accounts and signals to help Sales and Marketing work smarter. Youll build and automate enrichment pipelines that turn raw data into actionable intelligence.
• Analytics Engineering: Transform raw data into useful products. Youll 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. Youll explore Snowflake agents semantic views NLP and other cutting-edge tech to create smart automated solutions. If youre excited about applied ML in a modern data stack this is your track.

What Youll Do:

• Own a real project from kickoff to delivery
• Ship work that gets used by real peopleteammates 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 Youll 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 toolsSnowflake dbt Sigma or similar
• Curiosity about how data systems work end-to-end
• Strong communication skillsyoull 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 only cloud analytics and business intelligence tool empowering business teams to break free from the confines of the dashboard explore data for themselves and make better faster decisions. The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive spreadsheet-like interface no coding required.

Since launching with its unique interface Sigma Computing has added features such as collaboration tools and embedded analytics capabilities. The most recent product launch included a set of AI tools such asforecasting capabilities an AI copilot and a notebook interface for users who prefer a code-first environment.

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 Series D funding raised at a valuation 60% higher than the companys Series C round three years ago promises to further accelerate Sigmas 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 Sigmas 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). For any questions related to your personal data please contact .

Sigmas 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.