Summary written by USA Jobs 24 from Mastercard's advert and our data on 17,030 current US jobs. How we check every job
At a glance
Mastercard is hiring a Senior Software Engineer | Data & AI Platform in Arlington, VA. It is a full-time role in Data, AI & Analytics, first listed on November 1. The advertised pay is $132,000–$212,000 a year. The description mentions CI/CD, SQL, Python, Java, C# and .NET. Mastercard has 99 other openings in the US, 15 of them in Arlington, VA. Across all employers on USA Jobs 24 there are 16 Data & AI openings in Arlington, VA today; the typical one asks for 3 years and advertises about $214,000 a year at the midpoint.
How the pay compares
Mastercard advertises $132,000 to $212,000 a year, a midpoint of $172,000 a year. Where an offer lands in a range usually depends on experience and on the exact location. That is lower than about 68% of the 62 data & AI jobs in Virginia that publish a yearly rate on USA Jobs 24, where the typical midpoint is $211,000 a year. To see roughly what this leaves after federal and Virginia tax, try our take-home pay calculator.
Skills in this advert
How often each skill named in this advert appears across the 1,778 data & AI jobs we list today. Python is the most widely requested (46% of jobs), while .NET is the least common (0%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
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Before you apply
- Check it is still open. We found this job on Mastercard's Workday site on November 1 and checked it again November 4, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in Arlington, VA. If you would need to move, ask whether relocation help is offered.
- Tailor your resume. Use the advert's own words, such as CI/CD, SQL and Python, wherever they are true for you. Our resume guide shows how.
- Know your number. Decide the lowest offer you would accept before the first call. Our salary negotiation guide explains how to ask for more.
- Apply only through Mastercard's own site. Our Apply button goes straight to Mastercard's Workday page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at Mastercard
Mastercard has 100 openings on USA Jobs 24 today across 11 states. Most are in software & IT (24), product & design (17) and marketing (10). The biggest locations are Purchase, NY (44), O'Fallon, MO (37) and Arlington, VA (16). None of them is fully remote, none is marked entry level and 92% show pay. We collect Mastercard's jobs every day straight from its own careers system (Workday), never from job boards or agencies.
The employer's advert
This is Mastercard's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from MastercardHide the advert949 words
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
Senior Software Engineer | Data & AI PlatformOverview:Data Foundations, part of Business & Market Insights, solves shared data problems for Mastercard's analytics products: secure customer data exchange, consistent business definitions and metrics, reference datasets, data quality, and AI-assisted customer data onboarding. Engineering and product set direction together, and we own outcomes, not just delivery. Where enterprise platforms fit, we reuse and shape them. Where there is a shared gap, we solve it once.
We are looking for a Senior Software Engineer to be one of the first engineers in a new US-based team. You will start by making business definitions, metrics, and dataset relationships reusable across products, delivering key components independently and helping set the team's engineering habits. Early on, you will prototype answers to questions such as how shared metrics are versioned and where data access is enforced, then ship the first shared component with the product team that will use it.
About the Role:
• Design, build, test, and release shared services, libraries, and pipelines that enable and support other engineering teams.
• Partner with product managers to understand business problems, challenge assumptions, and simplify solutions whenever possible.
• Create clear and concise design proposals that outline trade-offs, recommendations, and implementation approaches.
• Evaluate enterprise and vendor technologies through proofs of concept to inform build-versus-buy decisions.
• Develop reusable, versioned interfaces with comprehensive documentation and automated deployment and testing capabilities.
• Build secure, scalable, and observable components while supporting incident response, troubleshooting, and root cause analysis.
• Participate in code and design reviews, mentor engineers, and contribute to the team's technology strategy and roadmap.
All About You:
• Strong expertise in software design, testing, secure coding practices, CI/CD, and operating production services.
• Advanced SQL skills and hands-on development experience with Python or other modern programming languages such as Java, C#/.NET, Go, or TypeScript.
• Experience working with modern cloud and data platforms such as Databricks, Snowflake, AWS, Azure, or Google Cloud.
• Proven ability to design APIs, reusable libraries, and platform capabilities that are consumed by other engineering teams.
• Strong understanding of data modeling, including entity relationships, aggregation challenges, data contracts, and version control of shared metrics.
• Product-minded approach to engineering with strong technical communication and documentation skills.
• Ability to understand end-user needs and build solutions that deliver measurable business value.
Preferred Qualifications:
• Experience working with semantic layers, metric stores, dbt, data catalogs, or business glossary platforms.
• Experience building tools, frameworks, or supporting context for AI agents and large language model (LLM) applications.
• Knowledge of data governance, access controls, row-level security, and handling sensitive or regulated data.
• Experience using AI-powered engineering tools to improve productivity, with sound judgment regarding accuracy, risk, and appropriate use cases.
• Demonstrated curiosity, continuous learning mindset, and passion for driving innovation through technology.Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
Pay Ranges
Arlington, Virginia: $132,000 - $212,000 USDUSA Jobs 24 copied this listing from Mastercard's official careers site on November 1, 2026 and checked it again November 4, 5:17 AM ET. Mastercard will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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