Staff Software Engineer - Backend at Sigma Computing

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data AnalyticsIndustries

Requirements

10+ 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 an interactive experience on data warehouses for data exploration and analysis
Build with modern tools and languages like Rust, Go, GraphQL, Node, and Kubernetes
Build backend distributed services, new algorithms and modern API to support a cloud application
Triage product or system issues and debug/track/resolve by analyzing the sources of issues
Design and implement new software features to support our fast growing user base
Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies

Skills

Key technologies and capabilities for this role

RustGoGraphQLNodeKubernetesSQLGCPAWSAzuredistributed systemsAPI development

Questions & Answers

Common questions about this position

What is the base salary range for this Staff Software Engineer role?

The base salary range is $240k - $270k annually, though compensation may vary based on qualifications, skills, competencies, and experience.

What benefits are offered for this position?

This role is eligible for stock options as well as a comprehensive benefits package.

Is this role remote or does it require office work?

This information is not specified in the job description.

What technical skills and experience are required for this role?

Candidates need 10+ years of industry experience building high-quality software, experience with robust and secure web applications in continuous deployment, strong Computer Science fundamentals, and skills in modern tools like Rust, Go, GraphQL, Node, and Kubernetes.

What does Sigma Computing look for in a strong candidate?

Sigma seeks engineers with a desire to be great teammates, have fun at work without compromising ownership, strong craftsmanship, and healthy academic curiosity, along with experience at high-growth companies.

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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