Jobs / United States / Sigma Computing INC
Senior Security Engineer - Data Security
Sigma Computing INC · 🇺🇸 San Francisco, CA and New York, New York
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 30 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 12 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Sigma Computing INC paid sponsored hires in similar roles1 certified filing for “Senior Analytics Engineer” (Data Scientists) in CA: $164k–$164k, median $164k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Sigma Computing INC
The US Department of Labor certified 30 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 12 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Sigma Computing INC →
About the role
Location: New York City or San Francisco - 4 days in office 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 help build, scale, and continuously evolve Sigma’s data security capabilities across SaaS applications, cloud platforms, endpoints, collaboration tools, AI systems, and data warehouses. You will be joining a dynamic and highly technical Security Engineering team at Sigma. This is a hands-on engineering role for builders, innovators, and problem-solvers who want to create scalable security solutions that protect the organization's most critical asset - data. What You'll Do • 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. • 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. • 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. • Continuously identify opportunities to leverage AI, automation, and modern engineering practices to solve data security challenges. • Evaluate emerging technologies and drive adoption where they provide measurable security and operational value. What We're Looking For Required Qualifications • 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. • Strong software engineering mindset with demonstrated experience building production-grade tools, automation, and security platforms. • Proven ability to build versus buy whenever practical and create scalable internal solutions. • 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, an