
Real job — pulled straight from Mastercard US’s careers page · Verified October 23, 2026 · No reposts.
Job description
Mastercard US is hiring a Senior Software Engineer — a full-time, based in Arlington, VA role ($132k–$212k). Apply directly on Mastercard US's careers page below.
Senior Software Engineer
Location: Arlington, Virginia
Time Type: Full time
Job Description
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 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 USDGet Software Engineer jobs like this→
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Frequently asked questions
What is the salary for Senior Software Engineer at Mastercard US?
The estimated salary range for Senior Software Engineer at Mastercard US is $132,000 - $212,000 USD per year.
What skills are required for Senior Software Engineer at Mastercard US?
The required skills for Senior Software Engineer at Mastercard US include: Python, SQL, Spark, Hive, Databricks, Hadoop, Machine Learning, Generative AI.
What is the seniority level for Senior Software Engineer at Mastercard US?
Senior Software Engineer at Mastercard US is a Senior level position.
How do I apply for Senior Software Engineer at Mastercard US?
You can view the full description and apply for Senior Software Engineer at Mastercard US on EchoJobs: https://echojobs.io/job/mastercard-us-senior-software-engineer-b42ds.

