1,922,830open jobs
112,800companies
249,813added this week
Browse all
Salary
$132k – $212k per year
Location
In office (Arlington)
Seniority
Senior
Visa
H-1B filings in 12 months: 110 · for this role: 36 · green card filings: 139
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 21, 2026. Mastercard scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Mastercard is an American payments technology company whose origins date to 1966, when a group of banks formed the Interbank Card Association to compete with BankAmericard. Like its main rival it does not issue cards or extend credit; it operates the network that authorises, clears and settles transactions between issuing banks, acquirers and merchants in more than two hundred countries. Headquartered in Purchase, New York, the company has built a large services business alongside the core network, covering fraud and identity products through its Ethoca and RiskRecon acquisitions, open banking, consulting and loyalty programmes.

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 [email protected] 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.

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 depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. THIS POSTING RELECTS ONE OR MORE CURRENT VACANCIES ON OUR TEAM, AND MASTERCARD INTENDS TO FILL THIS POSITION BY 01/19/2027. If the fill date has passed, Mastercard intends to fill this position as soon as possible.

Pay Ranges

Arlington, Virginia: $132,000 - $212,000 USD
Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,922,830 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Backend
Similar stack
Same company
Arlington
$94k – $147k per year • In office • 3+ years exp • Bachelor's Degree • New York
Python
JavaScript
SQL
C#
Node JS
C#
.NET
Databases
Databricks
MS SQL
AI/ML
Copilot
Claude Code
Model Context Protocol
AI Agents
Frontend
React.js
DevOps
OpenShift
Azure
CI/CD
Jenkins
Bitbucket
Analytics
ETL/ELT
SSIS
Management
Confluence
Jira
Apply
$220k – $292k per year • Equity • In office • Bachelor's Degree • Irvine
Python
Go
Rust
C++
AI/ML
Computer Vision
Robotics
Sensor Fusion
Management
Confluence
Jira
Agile
Apply
$189k – $193k per year • Hybrid • Full-Time • 5+ years exp • Bachelor's Degree • Los Angeles
Java
Kotlin
Kotlin
Mockito
Databases
Apache Kafka
DevOps
GCP
Prometheus
Azure
Jenkins
AWS
Docker
Kubernetes
Grafana
Amazon ECS
Apply
≈ $160k – $295k per year (Estimated) • In office • 5+ years exp • New York
Python
DevOps
AWS
Apply
$225k – $300k per year • Remote (United States) • Full-Time • 6+ years exp • San Francisco
JavaScript
TypeScript
Node JS
DevOps
AWS
Apply
≈ $24k – $48k per year (Estimated) • In office • Full-Time • 8+ years exp • Bachelor's Degree • Pune
Python
JavaScript
TypeScript
C#
C++
DevOps
GCP
Azure
CI/CD
Git
AWS
Management
Agile
Scrum
Apply
Hybrid • Full-Time • Serbia
Python
SQL
PowerShell
C#
C#
.NET
Databases
MS SQL
DevOps
VMWare
Windows Server
AWS
Windows
TCP/IP
DNS
Apply
≈ $22k – $45k per year (Estimated) • In office • Full-Time • Bengaluru
Python
SQL
Databases
Snowflake
AI/ML
dbt
DevOps
CI/CD
Analytics
ETL/ELT
Apply
≈ $63k – $162k per year (Estimated) • In office • Full-Time • 5+ years exp • Master's Degree • Stockholm
Python
SQL
SAS
AI/ML
NLP
Apply
≈ $19k – $37k per year (Estimated) • In office • Internship • Ivry-sur-Seine
SQL
DevOps
Azure
Analytics
Power BI
ETL/ELT
SSIS
Azure Data Factory
SAP BusinessObjects
Apply
$115k – $184k per year • In office • Full-Time • Bachelor's Degree • O'Fallon
Java
DevOps
CI/CD
Management
Scrum
Apply
$132k – $212k per year • Hybrid • Full-Time • Bachelor's Degree • Arlington
Python
SQL
Databases
Databricks
AI/ML
Hadoop
Spark
Machine Learning
Apply
$106k – $169k per year • Hybrid • Full-Time • Bachelor's Degree • Arlington
Python
SQL
Databases
Databricks
AI/ML
Hadoop
Spark
Machine Learning
DevOps
GCP
Azure
AWS
Linux
Management
Agile
Apply
$140k – $231k per year • In office • Full-Time • Bachelor's Degree • O'Fallon
JavaScript
Java
TypeScript
Node JS
Scala
Frontend
Angular
DevOps
CI/CD
Cybersecurity
Threat Modeling
Management
Agile
Apply
$115k – $184k per year • In office • Full-Time • 6+ years exp • Bachelor's Degree • O'Fallon
Python
JavaScript
Java
TypeScript
SQL
Java
Spring Boot
Databases
Databricks
Oracle
Delta Lake
AI/ML
Copilot
Spark
Machine Learning
Frontend
Angular
React.js
DevOps
Rest API
GCP
Azure
CI/CD
AWS
Docker
Kubernetes
Management
Agile
Apply
$145k – $222k per year • Equity • In office • Full-Time • 8+ years exp • Bachelor's Degree • Arlington
JavaScript
TypeScript
SQL
C#
Node JS
C#
.NET
Databases
Apache Kafka
OpenSearch
AI/ML
Human-in-the-Loop
Frontend
Vue.js
Tailwind CSS
React.js
DevOps
GCP
Azure
CI/CD
AWS
Management
Agile
Scrum
Apply
$103k – $154k per year • Equity • In office • Full-Time • 2+ years exp • Bachelor's Degree • Arlington
JavaScript
TypeScript
SQL
C#
Node JS
C#
.NET
Databases
Apache Kafka
OpenSearch
DevOps
CI/CD
AWS
Management
Agile
Scrum
Apply
$168k – $227k per year • Equity • In office • Nationals only • Full-Time • 5+ years exp • Bachelor's Degree • Arlington
AI/ML
AI Agents
Knowledge Graph
LLM Guardrails
Apply
$144k – $194k per year • Equity • In office • Nationals only • Full-Time • 3+ years exp • Bachelor's Degree • Arlington
Java
C#
C++
Perl
Databases
Neo4j
Amazon Neptune
AI/ML
AI Agents
Knowledge Graph
Apply
$145k – $222k per year • Equity • In office • 8+ years exp • Bachelor's Degree • Arlington
JavaScript
TypeScript
SQL
C#
Node JS
C#
.NET
Databases
Apache Kafka
OpenSearch
AI/ML
Human-in-the-Loop
Frontend
Vue.js
Tailwind CSS
React.js
DevOps
GCP
Azure
CI/CD
AWS
Management
Agile
Scrum
Apply
See all jobs
This is one of many
1,922,830 more open roles from verified company boards, updated every day.