Senior Software Engineer - Fullstack at Sigma Computing

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data AnalyticsIndustries

Requirements

5+ years industry experience building and maintaining high-quality software
Experience building and deploying robust and secure web applications in a continuous deployment environment
Desire to be a great teammate and have fun at work without compromising ownership towards your work
Strong sense of craftsmanship, and a healthy academic curiosity to solve challenges at Sigma
Strong Computer Science fundamentals

Responsibilities

Solve challenging problems that arise in providing high performance interactive experience to enable analytics and workflows use cases on top of modern warehouses
Build software using the latest developer tools and using programming languages like Rust, Go, GraphQL, Typescript
Develop new algorithms and techniques for improving the performance and interactivity for enabling analytics and workflows for the world's largest companies
Triage product or system issues and debug/track/resolve by analyzing the sources of issues
Design and implement new software features to support fast growing user growth
Collaborate with cross-functional groups - infrastructure, design, product, customer support, sales and marketing to build innovative product capabilities

Skills

Rust

GraphQL

Typescript

Web Applications

Continuous Deployment

Distributed Systems

Data Model Design

API Development

Algorithms

Debugging

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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