Software Engineering Intern (Summer 2026) at Sigma Computing

San Francisco, California, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

NoVisa

Technology, Data AnalyticsIndustries

Requirements

Currently enrolled in a university undergraduate or graduate degree program in the U.S. with a graduation date of December 2026 or later
Able to intern from June 2026 through August/early September 2026 (dates flexible)
Legally authorized to work in the US during the Summer 2026 program (visa sponsorship not available, but applicants on student visa with work authorization welcome)
Able to work in-person in San Francisco, CA or New York, NY office for the duration of the internship

Responsibilities

Learn how to build production software and understand how large Single Page Applications are built and extended with the user experience top of mind
Experience how backend scales to handle multiple customers and billions of data points while keeping user information secure
Gain an understanding of how to own a development project from beginning to end
Develop automated unit tests to get the relevant code coverage and work with product owners and techpubs to document your work
Partner with other Engineers, Product Managers, and Designers
Design and deliver innovative solutions to improve the Sigma user experience by implementing new features into our product
Find new ways to optimize the performance of one or more components of the product
Experiment, prototype, and implement production features
Collaborate with engineering mentors, product leaders, designers, Product Managers, Sales, and users
Take projects from ideation through implementation, iterating and gathering feedback
Deploy features and gather insights from customer metrics to aid in making better development decisions

Skills

Sigma Computing

Cloud-based data analytics platform for businesses

About Sigma Computing

Sigma Computing offers a cloud-based data analytics platform that enables businesses to analyze large volumes of data through a user-friendly, spreadsheet-like interface. Users can connect to their cloud data warehouse and access advanced features such as data collection, territory management, and revenue planning without needing coding skills. The platform is scalable, allowing for the analysis of billions of rows of data, and promotes self-service capabilities for faster insights. Recently, Sigma introduced AI features like data classification and natural language processing to enhance data analysis and support Enterprise AI initiatives.

San Francisco, CaliforniaHeadquarters

2014Year Founded

$550.9MTotal Funding

SERIES_DCompany Stage

Data & Analytics, AI & Machine LearningIndustries

501-1,000Employees

Benefits

Competitive pay - Looking for a great salary and solid stock options? You’ve come to the right place.

Flexible schedule - Do the work you need to get done in the time you have to get it done

Amazing benefits - Medical, dental, vision, 401k, FSA, commuter… we’ve got you covered. Literally.

Flexible vacation - At Sigma, we work to live, not live to work. So go on, book that dream vacation.

Health & wellness - A healthy body supports a healthy mind, so we partner with Crunch Fitness and CorePower.

Family-friendly - From flexible scheduling to parental leave to kids’ birthdays off, we support Sigma families.

Risks

Competition from Tableau and Power BI could threaten Sigma's market share.

Reliance on platforms like Snowflake may impact service delivery if disruptions occur.

High valuation pressures Sigma to deliver rapid growth, risking strategic misalignment.

Differentiation

Sigma offers a spreadsheet-like interface for non-technical users to analyze data.

The platform integrates with major data warehouses like Snowflake and BigQuery.

Sigma's AI features include natural language processing and sentiment analysis.

Upsides

Sigma raised $200M in Series D funding, valuing it at $1.5 billion.

The platform's scalability allows analysis of billions of data rows efficiently.

Sigma's partnerships enhance data accessibility and integration for users.

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