Senior Data Engineer

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 Data Engineer

Overview:
The Offers team within Mastercard’s Loyalty Solutions is responsible for delivering highly personalized, card-linked offers to consumers by combining insights from our advertising network with anonymized transaction data. This platform sits at the core of Mastercard’s value proposition, enabling innovative, data-driven experiences at scale.

We are seeking a Senior Data Engineer with strong Big Data expertise who brings technical depth, innovation, and a passion for building high-quality, scalable systems. This role will drive the design and development of critical data platforms while collaborating closely with cross-functional teams in a fast-evolving technology landscape.
As an individual contributor, you will play a key role in shaping solutions, mentoring engineers, and delivering impactful projects that advance our platform capabilities.

About the Role:
-Design, develop, test, deploy, and maintain scalable Big Data applications and platform capabilities
-Own end-to-end delivery of critical projects, including prioritization, timelines, and execution
-Build highly performant, resilient, and responsive systems that meet business and customer needs
-Drive engineering excellence through code quality, testing, and continuous improvement practices
-Actively participate in agile processes including sprint planning, story elaboration, daily stand-ups, and retrospectives
-Partner closely with Product, Business, and cross-functional Engineering teams to translate requirements into technical solutions
-Mentor and coach junior engineers, fostering a collaborative and high-performing team culture
-Contribute to architectural decisions and continuously evolve platform design to support scale and innovation

All About You:
-Proven experience as a Senior Data Engineer, working with either cloud-based or on-premises data platforms
-Strong programming expertise in at least one modern language such as Java or Scala
-Solid computer science fundamentals including object-oriented design, data structures, algorithms, and complexity analysis
-Hands-on experience with Apache Spark for large-scale data processing
-Experience with both relational databases (e.g., MySQL, PostgreSQL) and NoSQL technologies
-Strong working knowledge of Big Data ecosystem and streaming technologies, including:
-Hive, Impala, Oozie, Airflow, NiFi, Kafka
-Familiarity with Linux/Unix environments and basic scripting (e.g., Shell scripting)
-Experience designing and developing high-scale distributed systems
-Understanding of both Software Engineering and Data Engineering paradigms, with the ability to apply best practices across both
-Strong problem-solving skills and ability to work effectively in a collaborative, team-oriented environment

Preferred Qualifications:
-Experience with cloud platforms (e.g., Azure, AWS, GCP)
-Exposure to real-time data processing and streaming architectures
-Prior experience leading technical initiatives or mentoring engineers

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.

Pay Ranges

San Francisco, California: $138,000 - $221,000 USD