Sigma Computing
Senior Security Engineer - Data Security
San Francisco, CA and New York, New York · Senior · Full-time
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$18,461 more — $193,461 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $193,461 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- We are looking for a highly technical Senior Security Engineer who is passionate about protecting data across modern SaaS, cloud, endpoint, and analytics environments.
- This role is ideal for someone who enjoys solving complex data security challenges through engineering, automation, and AI rather than relying solely on commercial tools.
- You will be joining a dynamic and highly technical Security Engineering team at Sigma.
Responsibilities
- Design, build, and maintain security platforms, services, APIs, automation, and internal tooling that protect Sigma's data across cloud, SaaS, endpoint, and analytics environments.
- Develop scalable solutions for data discovery, classification, governance, access controls, monitoring, and protection using modern engineering practices and automation.
- Build and mature capabilities around CASB, DLP, DSPM, SSPM, insider risk, and data access governance to reduce the risk of unauthorized access, sharing, or exposure of sensitive information.
- Build and maintain DLP controls and tooling across multiple cloud, OS environments and decentralized datasets, implementing and tuning prevention capabilities that protect against sophisticated data security incidents.
- Design and implement security controls across SaaS applications, collaboration platforms, endpoints, and business-critical services.
- Partner with IT, Engineering, Privacy, Legal, and Business teams to securely enable productivity while maintaining strong data protection controls.
- Design and implement security controls for modern data platforms, data warehouses, AI-enabled systems, and cloud-native environments.
- Assess data architectures, access models, and security configurations while driving secure-by-design principles through architecture reviews, threat modeling, and security best practices.
- Evaluate emerging technologies and drive adoption where they provide measurable security and operational value.
Requirements
- 5+ years of hands-on experience in Security Engineering, Data Security, SaaS Security, or related cybersecurity roles.
- Bachelor or Masters in Computer Science, Cyber Security, or similar fields.
- Experience designing and implementing platforms like Insider threat and data protection technologies (SIEM, UBA, DSPM, SSPM,DLP, Browser Protection, Endpoint detection)
- Strong understanding of data security principles including data classification, data governance, access controls, encryption, key management, and data lifecycle management.
- Hands-on experience securing SaaS platforms, cloud environments, endpoints, collaboration systems, and modern data platforms.
- Experience leveraging AI to improve data protection, investigations, classification, and security workflows.
Nice to have
- Experience securing Snowflake, Databricks, BigQuery, Redshift, or similar modern data platforms.
- Strong understanding of AI/LLM data protection risks, data leakage prevention, and AI governance.
- CISSP, CCSP, or equivalent certifications.
- Additional Job details
- Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience.
Compensation
- Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing.
Benefits
- Generous health benefits
- Flexible time off policy.
- Take the time off you need!
- Commuter and FSA benefits
- Drive automation across DLP engineering and operations by leveraging LLMs, agentic AI, and an automation-first mindset to streamline workflows, reduce manual effort, and scale data protection coverage.
- This role is eligible for stock options, as well as a comprehensive benefits package.
Company info
- 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:
- 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.
- Equity
- Flexible time off policy. Take the time off you need!
Visa & Work Authorization
- g 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 othe
This listing is sourced directly from Sigma Computing's careers page and normalized into a canonical job model.