Mastercard
Software Engineer II
Arlington, Virginia, USA · Mid · Part-time
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). 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
$21,462 more — $127,462 — moves this role to Level II and 2 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 $127,462 would place this position at wage Level II. 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) · Washington-Arlington-Alexandria, DC-VA-MD-WV. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Green-card follow-through: 100%
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
- Improve performance, reliability, and maintainability of large-scale data systems to enable fast troubleshooting and consistent data delivery.
- Write clean, testable code and participate in peer code reviews to ensure high engineering standards.
Responsibilities
- 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.
- Design and build scalable, maintainable data pipelines for economic insight products.
- Collaborate cross-functionally with data scientists, product managers, and infrastructure teams to deliver high-impact solutions.
- Contribute to all stages of the development of lifecycles, including design, implementation, and testing.
- Collaborate with product and engineering team members on innovative new product ideas and capabilities to accelerate growth of the business.
- These insights support clients across financial services, retail, and government sectors.
- Solid understanding of object-oriented design principles and software engineering best practices.
- Self-motivated and proactive, with the ability to take ownership and deliver results in fast-paced, collaborative settings.
Requirements
- Familiarity with Linux command-line environments.
- Bachelor's degree in Computer Science, Information Systems, Information Technology, or equivalent practical experience.
Nice to have
- Strong programming fundamentals
- Python preferred (experience in other high-level languages also acceptable).
- Exposure to big data technologies such as Spark, Hive, or Impala is a plus.
- Experience or interest in cloud platforms such as Databricks, AWS or similar (Azure or GCP) is a plus.
Skills
- Explore and adopt new tools, frameworks, and approaches to improve data processing and analytics capabilities.
Compensation
- In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions dependi
Benefits
- Interest in or exposure to machine learning, AI, or emerging agent-based systems is a strong plus.
- Build and optimize data architecture and schemas to support analytics and machine learning use cases.
- In this role, you will develop scalable data systems, build and optimize data pipelines, and contribute to machine learning and analytics capabilities that support business and client decision-making.
Company info
- Together with our customers, we're helping build a sustainable economy where everyone can prosper.
- The Mastercard Economic Intelligence team is seeking a Software Engineer II to help design and build data driven analytical solutions that power economic insights for our customers.
Visa & Work Authorization
- This role is not eligible for Mastercard's work authorization sponsorship.
This listing is sourced directly from Mastercard's careers page and normalized into a canonical job model.