Mastercard
Senior Software Engineer
Arlington, Virginia, USA · Senior · Part-time
Stay score
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
$20,838 more — $152,838 — moves this role to Level III and 3 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 $152,838 would place this position at wage Level III. 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
- Diagnose and resolve complex performance, reliability, and data-quality issues across distributed systems.
- Reduce technical debt by balancing near-term product delivery with long-term platform sustainability.
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.
- Own complex data platform capabilities from ingestion and transformation through publishing and consumption.
- Make and document architecture and design decisions that improve scalability, reliability, maintainability, security, and cost efficiency.
- Build production-ready pipelines with appropriate testing, data-quality controls, observability, operational documentation, and recovery procedures.
- Contribute directly to implementation while guiding technical execution through design reviews, code reviews, and collaborative problem-solving.
- Participate in production support and continuous improvement of the systems owned by the team.
- Mastercard's Economic Intelligence team is seeking a Senior Software Engineer to design, build, and operate scalable data systems that power our economic intelligence products.
- Partner with product managers and data scientists to translate business and analytical requirements into clear, durable technical solutions.
Requirements
- Experience with Hive, Impala, workflow orchestration, data Lakehouse patterns, or cloud object storage.
- Knowledge of data governance, privacy, security, data lineage, and access-control practices.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related STEM discipline, or equivalent practical experience.
- As such, candidates must be eligible to work in the United States now or in the future without employer sponsorship.
Skills
- Provide technical leadership for the modernization of on-premises data workloads to Databricks and cloud-based platforms.
- Experience modernizing workloads from Hadoop-based environments to cloud or Databricks platforms.
- Excellent verbal and written communication skills, capable of explaining complex technical concepts to diverse audiences.
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
- Experience applying machine learning, generative AI, or agent-based capabilities within production systems.
Company info
- The Economic Intelligence team develops data products and analytical capabilities that help customers understand consumer spending, evaluate economic conditions, and make informed business decisions.
- Together with our customers, we're helping build a sustainable economy where everyone can prosper.
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.