Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
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.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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✓
What Mastercard International Incorporated paid sponsored hires in similar roles10 certified filings for “Senior Software Engineer” (Software Developers) in MO: $115k–$138k, median $127k.
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✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- 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. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-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 roles
- 10 certified filings for “Senior Software Engineer” (Software Developers) in MO: $115k–$138k, median $127k. Most were filed at wage level II (50%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
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.
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 Data & Analytics organization is seeking a Software Engineer II with experience building data-centric platforms to help shape the next generation of our enterprise data capabilities. This role will contribute to a new platform in its early stages while also supporting an existing platform that securely moves data from the Mastercard environment into other environments.
This is an opportunity to join a team evolving from data engineering toward platform engineering, working closely with product teams, consultants, analysts, and engineering partners to make enterprise data easier to exchange, discover, access, and use.
Role:
• Design, build, and maintain scalable data-centric platforms, services, and integrations across cloud and on-premises environments.
• Contribute to the development of a new enterprise data platform while supporting and enhancing the existing data movement platform.
• Develop and optimize data-intensive applications using Spark, Databricks, and related technologies to process, transform, and serve data efficiently.
• Build backend services and APIs that support data onboarding, exchange, discovery, and consumption capabilities.
• Write clean, maintainable, and well-tested code, and contribute to code reviews, CI/CD practices, and engineering standards.
• Identify and resolve performance, reliability, and scalability issues across services, APIs, and data-processing workloads.
• Participate in system design discussions and collaborate with cross-functional teams to deliver secure, high-quality solutions.
• Partner with Product, Engineering, Data Governance, Security, and business stakeholders to understand requirements and deliver against shared goals.
• Work effectively with teams across global time zones and continue to grow your skills as the platform and team responsibilities evolve.
All About You:
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Strong software engineering fundamentals, including object-oriented programming, API design, testing, and scalable system design.
• Backend development experience with Java preferred; strong Python experience will also be considered.
• Hands-on experience with Apache Spark for building or optimizing data-processing workloads.
• Experience with cloud and cloud-native technologies, with AWS and Databricks experience strongly preferred.
• Working knowledge of CI/CD pipelines, version control, automated testing, and production support.
• Experience building or contributing to data-centric platforms, distributed systems, or enterprise data integration solutions.
• Strong problem-solving, collaboration, and communication skills, with the ability to work effectively in an agile environment.
• Curiosity, ownership, and a growth mindset, with the ability to adapt as priorities and responsibilities take shape.
Preferred Experience:
• Experience with Spring Boot.
• Front-end development exposure, including React or Angular.
• Experience with streaming technologies such as Kafka and Flink.
• Experience building reusable platforms that serve multiple products, teams, or business domains.
• Exposure to integrating AI-driven cap
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