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Sigma Computing Inc.

Staff Software Engineer - Backend

Sigma Computing Inc., San Francisco

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About The Role

Sigma is transforming how businesses run by delivering a high performance platform on the modern data architecture. We are growing the engineering team and looking for engineers who are excited to solve challenging problems and deliver impactful capabilities across our stack to build world-class technology. You will be part of a team of engineers with a shared mission to make data easily accessible for all users.

What You Will Be Doing

  • 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 APIs 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 among available technologies

Qualifications We Need

  • 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

Qualifications We Want (also, skills you’ll learn!)

  • Data-driven aptitude and its application to solve distributed system problems
  • Data model design and API development experience
  • SQL query optimization and database internals
  • Administered cloud service infrastructure (GCP, AWS, Azure)
  • Prior experience at a high-growth company solving technical problems to enable continued success

Additional Job Details

The base salary range for this position is $240k - $270k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.

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 as forecasting capabilities, an AI copilot and a notebook interface for users who prefer a code-first environment. Sigma announced its $200M 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.

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.

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