1,931,206open jobs
113,067companies
252,557added this week
Browse all
Salary
$132k – $212k per year
Location
Hybrid (Arlington, United States)
Seniority
Senior
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 19, 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 EngineerOverview:

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. This is a hands-on engineering role focused on delivering complex platform capabilities, modernizing data workloads from on-premises Hadoop technologies to Databricks and cloud-based services, and strengthening engineering practices across the team.

The Economic Intelligence team develops data products and analytical capabilities that help customers understand consumer spending, evaluate economic conditions, and make informed business decisions. We transform billions of global transaction records into trusted insights used by clients across financial services, retail, and government.

You will collaborate with software engineers, data engineers, data scientists, product managers, and data warehouse teams across multiple locations.

This is a hybrid role based in Arlington, VA, requiring three days per week onsite.

Role:

  • Design, develop, test, and operate scalable data-processing solutions using Python, SQL, Spark, Hive, Impala, Databricks, and related technologies.
  • Own complex data platform capabilities from ingestion and transformation through publishing and consumption.
  • Provide technical leadership for the modernization of on-premises data workloads to Databricks and cloud-based platforms.
  • 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.
  • Diagnose and resolve complex performance, reliability, and data-quality issues across distributed systems.
  • Contribute directly to implementation while guiding technical execution through design reviews, code reviews, and collaborative problem-solving.
  • Reduce technical debt by balancing near-term product delivery with long-term platform sustainability.
  • Partner with product managers and data scientists to translate business and analytical requirements into clear, durable technical solutions.
  • Mentor engineers, share technical knowledge, and help strengthen engineering practices across geographically distributed teams.
  • Evaluate new tools and approaches based on measurable improvements to delivery speed, platform reliability, developer productivity, or analytical capability.
  • Participate in production support and continuous improvement of the systems owned by the team.

All About You:

  • Experience modernizing workloads from Hadoop-based environments to cloud or Databricks platforms.
  • Experience with Hive, Impala, workflow orchestration, data Lakehouse patterns, or cloud object storage.
  • Advanced SQL expertise, including query optimization and modeling for very large datasets.
  • Knowledge of data governance, privacy, security, data lineage, and access-control practices.
  • Experience supporting analytical, economic, financial, or other data-intensive products.
  • Experience applying machine learning, generative AI, or agent-based capabilities within production systems.
  • Experience mentoring engineers and influencing architecture or engineering standards across teams.
  • Excellent verbal and written communication skills, capable of explaining complex technical concepts to diverse audiences.
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related STEM discipline, or equivalent practical experience.

This role is not eligible for Mastercard’s work authorization sponsorship. As such, candidates must be eligible to work in the United States now or in the future without employer sponsorship.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 01/17/2027. 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.
1,931,206 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
Software Engineer 1 hour ago
≈ $90k – $175k per year (Estimated) • Remote (United States) • Full-Time • 3+ years exp • Bachelor's Degree • Durham
Java
DevOps
Rest API
AWS
Apply
$84k – $161k per year • Remote (United States) • Full-Time • 5+ years exp • Bachelor's Degree • United States
JavaScript
Java
TypeScript
SQL
Java
Spring Boot
Databases
Db2
Oracle
Frontend
Angular
DevOps
Rest API
GitHub Actions
CI/CD
Jenkins
Git
SOAP
Management
Agile
Scrum
Apply
≈ $88k – $174k per year (Estimated) • In office • Full-Time • 5+ years exp • Bachelor's Degree • Memphis
Apply
$92k – $164k per year • Remote (United States) • 8+ years exp • Naperville
Python
JavaScript
TypeScript
Node JS
Scala
Python
Flask
FastAPI
pySpark
Databases
MySQL
Snowflake
Databricks
AI/ML
Hadoop
Spark
Frontend
Angular
React.js
DevOps
Rest API
Azure
AWS
Management
Agile
Apply
≈ $230k – $423k per year (Estimated) • In office • 5+ years exp • Bachelor's Degree • Cupertino
JavaScript
Java
Java
Maven
Netty
Databases
Redis
Memcached
AI/ML
Machine Learning
Frontend
JQuery
DevOps
Rest API
CI/CD
Docker
Kubernetes
Spinnaker
GitHub
Apply
≈ $109k – $211k per year (Estimated) • In office • TS/SCI • 8+ years exp • Associate's Degree • Arlington
Structured Text
DevOps
TCP/IP
Cybersecurity
Wireshark
Nmap
Shodan
Censys
Zeek
Maltego
VirusTotal
MITRE ATT&CK
Cyber Kill Chain
Diamond Model
SIEM
IoT
OPC UA
Energy
DNP3
Apply
JANITOR 6 hours ago
≈ $40k – $89k per year (Estimated) • In office • Full-Time • Arlington
Apply
≈ $58k – $109k per year (Estimated) • In office • TS/SCI • Bachelor's Degree • Arlington
Management
Confluence
Agile
Apply
$40k per year • In office • Part-Time • High School Diploma • Arlington
Apply
$100k – $120k per year • In office • 5+ years exp • Arlington
AI/ML
Claude
Cybersecurity
GDPR
Analytics
Tableau
Power BI
Marketing
HubSpot
Marketo
Apply
See all jobs
This is one of many
1,931,206 more open roles from verified company boards, updated every day.