Data Platform Graduate Intern

Job Description

Data Platform Graduate Intern | Sigma

The Tone:
This is an internship at Sigma, with an in-office work environment across our San Francisco, NYC, and London offices. Sigma operates as an AI apps and analytics platform seamlessly connected to cloud data warehouses, empowering both business and technical teams to construct intelligent, production-ready AI applications. These applications are designed to accelerate and automate critical operational workflows. This Data Platform Graduate Intern role is an opportunity to dive into substantial, meaningful work. You will contribute to building, shipping, and collaborating on data systems that not only help Sigma run efficiently but also showcase the transformative possibilities of our platform to our customers.

The TL;DR
• Role: Internship
• Location: San Francisco, CA
• Team: Cross-functional team of engineers and analysts, powering Sigma’s internal analytics and demo infrastructure.
• Mission: To contribute to building and optimizing the data systems, pipelines, and experiences that help Sigma operate and showcase its product.
• Tech Stack: Fivetran, dbt, Snowflake, Sigma, Hightouch, Metaplane, SQL, Python.

What You’ll Actually Do
• Demo Engineering: Build engaging demo experiences by designing and prototyping workbooks, dashboards, and data apps that highlight Sigma’s AI Query, Ask Sigma, writeback, and no-code app capabilities.
• Data Engineering: Architect and scale data pipelines using tools like Fivetran, dbt, Snowflake, and Hightouch to build foundational infrastructure, improve governance, and ensure data reliability and availability.
• GTM Engineering: Develop and automate data enrichment pipelines to transform raw data into actionable intelligence for sales and marketing teams, supercharging go-to-market motions.
• Analytics Engineering: Transform raw data into valuable products by building semantic layers, data models, and analytics-ready datasets in dbt for internal decision-making.
• Data Science: Explore and apply cutting-edge machine learning and AI technologies, such as Snowflake agents, semantic views, and NLP, to create intelligent, automated solutions.

The Must-Haves
• Background: An early career professional or student currently pursuing a graduate degree, with a foundational understanding of data systems and analytics, driven by a passion for enabling all users to effectively utilize data with platforms like Sigma.
• Experience: Demonstrated strong professional experience and familiarity with SQL is essential. Additionally, interest and hands-on experience with modern data tools such as Snowflake, dbt, or Sigma are highly valued, with specific past experience with Sigma considered a significant advantage.
• Skills: Proficiency in SQL for data manipulation and querying; a genuine curiosity about how data systems function from end-to-end; strong communication skills necessary for constant collaboration across various teams; and an adaptable, self-directed approach, eager to independently solve new challenges.
• Bonus: Experience with Python programming, data visualization techniques, or foundational Machine Learning/Artificial Intelligence concepts.