Software Engineer II

Mastercard is hiring a Software Engineer II in Arlington, United States. Level rates it ; you can apply on Mastercard.

Level's read on this job

On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include Databricks.
Level classifies it as a mid-level role.
Level lists 1,100+ other open roles at Mastercard.
The role was posted in the last few days.

AI in this role

databricks

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

Software Engineer II

Overview:

Mastercard’s Data & Analytics organization is seeking a Software Engineer II with experience building data-centric platforms to help shape the next generation of our enterprise data capabilities. This role will contribute to a new platform in its early stages while also supporting an existing platform that securely moves data from the Mastercard environment into other environments.
This is an opportunity to join a team evolving from data engineering toward platform engineering, working closely with product teams, consultants, analysts, and engineering partners to make enterprise data easier to exchange, discover, access, and use.

Role:

• Design, build, and maintain scalable data-centric platforms, services, and integrations across cloud and on-premises environments.
• Contribute to the development of a new enterprise data platform while supporting and enhancing the existing data movement platform.
• Develop and optimize data-intensive applications using Spark, Databricks, and related technologies to process, transform, and serve data efficiently.
• Build backend services and APIs that support data onboarding, exchange, discovery, and consumption capabilities.
• Write clean, maintainable, and well-tested code, and contribute to code reviews, CI/CD practices, and engineering standards.
• Identify and resolve performance, reliability, and scalability issues across services, APIs, and data-processing workloads.
• Participate in system design discussions and collaborate with cross-functional teams to deliver secure, high-quality solutions.
• Partner with Product, Engineering, Data Governance, Security, and business stakeholders to understand requirements and deliver against shared goals.
• Work effectively with teams across global time zones and continue to grow your skills as the platform and team responsibilities evolve.

All About You:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Strong software engineering fundamentals, including object-oriented programming, API design, testing, and scalable system design.
• Backend development experience with Java preferred; strong Python experience will also be considered.
• Hands-on experience with Apache Spark for building or optimizing data-processing workloads.
• Experience with cloud and cloud-native technologies, with AWS and Databricks experience strongly preferred.
• Working knowledge of CI/CD pipelines, version control, automated testing, and production support.
• Experience building or contributing to data-centric platforms, distributed systems, or enterprise data integration solutions.
• Strong problem-solving, collaboration, and communication skills, with the ability to work effectively in an agile environment.
• Curiosity, ownership, and a growth mindset, with the ability to adapt as priorities and responsibilities take shape.

Preferred Experience:

• Experience with Spring Boot.
• Front-end development exposure, including React or Angular.
• Experience with streaming technologies such as Kafka and Flink.
• Experience building reusable platforms that serve multiple products, teams, or business domains.
• Exposure to integrating AI-driven capabilities into data platforms with appropriate governance and guardrails.

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.

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 01/21/2027. If the fill date has passed, Mastercard intends to fill this position as soon as possible.

Pay Ranges

Arlington, Virginia: $106,000 - $169,000 USD

How we rate this

Software Engineer II at Mastercard rates 23 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.