Jobs / United States / Mastercard International Incorporated
Software Engineer II
Mastercard International Incorporated · 🇺🇸 Arlington, Virginia
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 76 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 286 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 Mastercard International Incorporated paid sponsored hires in similar roles1 certified filing for “Data Engineer” (Software Developers) in VA: $126k–$126k, median $126k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% 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 — Mastercard International Incorporated
The US Department of Labor certified 76 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 286 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 Mastercard International Incorporated →
About the role
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Engineer II Overview: Mastercard’s Portfolio Intelligence team, part of the Services organization, is seeking a Software Engineer II to help build high-performance analytics platform that enable businesses around the world to unlock greater value from their data. In this role, you will leverage your full-stack development expertise to design, build, deploy, and scale real-time, interactive applications used by thousands of clients globally. These applications empower users to benchmark portfolio performance, monitor key performance indicators, and generate actionable dashboards and reports using Mastercard’s rich data assets. Our next generation platform blends industry-leading analytics, advanced software architecture, and the latest web technologies. You will play a vital role within a rapidly growing organization, while working closely with experienced and driven engineers to solve challenging problems. Engineers work in small, flexible teams. Every team member contributes to designing, building, and testing features. We take an agile approach to software development and practice continuous integration and delivery. The range of work that a team will encounter varies from front-end web development to writing server-side calculation code to database work. We prefer no rigid organizational structures; each team uses processes that work the best for its members and projects. You will be working closely with our US teams based in Arlington, VA and New York City, NY, as well as teams based in Pune, India. This is a hybrid position based in Arlington, VA, requiring three days per week onsite. Role: • Design and develop scalable, service-oriented software architectures supporting analytics-driven applications. • Drive the development of robust web applications and continuously enhance product capabilities. • Produce well-structured, maintainable code using modern design patterns and principles that ensure separation of concerns. • Write clean, testable code and participate in peer code reviews to ensure high engineering standards. • Create cutting-edge algorithms and analytical techniques that can handle on-the-fly processing across hundreds of dimensions. • Contribute to all stages of the development lifecycle, including design, implementation, and testing. • Collaborate cross-functionally to deliver scalable and resilient applications aligned with business needs. • Leverage emerging technologies and innovative approaches to optimize performance across large-scale data environments. • Apply expertise in computer science, mathematics, and statistics to address complex challenges faced by global organizations. All About You: • Hands-on software engineering experience, with a strong background in full-stack development, building scalable, high-performance applications. • Full-stack development expertise across UI, microservices architecture, and database technologies. • Strong proficiency in Java, Spring Boot, React, and PostgreSQL; experience with Snowflake is a plus. • Familiarity with AI tools such as GitHub CoPilot and AI integration in the Software Development Lifecycle. • Solid understanding of software design patterns, system architecture, data structures, and algorithms, with experience designing m