We are growing the engineering team and looking for engineers who have the chops to build and deliver world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible.
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, and Kubernetes
- Build infrastructure to support a modern cloud application
- Develop new algorithms and techniques for improving the performance and interactivity of our multi-tenant cloud application
- Design and implement new technologies and features to support our fast growing user base
- Collaborate with cross-functional groups - backend, frontend, design, product, customer support, sales and marketing to build an innovative product
Qualifications We Need
- Strong Computer Science fundamentals
- 5+ years industry experience building and maintaining high-quality software
- Experience building and deploying robust and secure web APIs
- Desire to be a great teammate and have fun at work
- Strong sense of craftsmanship, and a healthy academic curiosity
Qualifications We Want (also, skills you’ll learn!)
- Experience building systems for data analytics
- Distributed systems monitoring and profiling skills
- Knowledge of cloud application security models
- SQL query optimization and database internals
- Administered cloud service infrastructure (GCP, AWS)
- Startup experience
Additional Job details
The base salary range for this position is $170k - $240k 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 that is 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 AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.
Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.
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 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, veteran, or any other protected 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, London and Sydney. All roles have a 25% travel expectation unless explicitly stated otherwise.
Our Privacy Practices
When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to the USA, the UK, and Canada, Australia).
Sigma’s use of AI
This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
Sigma Computing New York, New York, USA Office
Zero Irving, New York, United States
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