Mastercard

Mastercard

Senior Software Engineer

Arlington, Virginia · Senior · Part-time

Sponsorship not specified$132k-$212kDetected 1 day ago
PythonCode ReviewSQLDatabricksMachine LearningSparkLLMsAI OrchestrationLeadershipCommunicationMentoringHadoop

Stay score

odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

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

Level II · 2×
Level I$102,0861 entry
Level II$127,4622 entries
Level III$152,8383 entries
Level IV$178,2144 entries

$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

Context, not a finding about this posting: of this employer's 41 green-card filings in this occupation, 95% were for a worker who already held the job.

Green-card follow-through: 100%

Of 36 labor certifications old enough to have been used, 0 expired without the employer filing the next step. Median time from filing to decision: 481 days.92% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

20 transfer filings in the last year, covering 20 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

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.