Mastercard

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

Are you passionate about building scalable, high-performance data platforms that power personalized experiences for millions of users? Do you thrive in a fast-paced environment where innovation and collaboration drive success? Join the Loyalty group at Mastercard, where we connect anonymized transaction data with a robust advertising network to deliver highly personalized card-linked offers.

We are looking for a Senior Data Engineer who brings deep technical expertise, a strong foundation in software engineering, and a passion for solving complex data challenges. You’ll work on mission-critical projects that shape the future of Mastercard’s offers platform, leveraging cutting-edge technologies in Big Data, cloud computing, and real-time processing.

This is an exciting opportunity to work with a collaborative, agile team that values creativity, continuous learning, and delivering high-quality software at scale.

In this role, you will:

• Design, develop, test, deploy, and maintain scalable Big Data solutions.
• Manage project priorities, deadlines, and deliverables across multiple initiatives.
• Build and optimize data pipelines using Spark and other distributed processing frameworks.
• Develop software using modern programming languages such as Java or Scala.
• Work with both relational (e.g., MySQL, Postgres) and NoSQL databases.
• Integrate and manage data workflows using tools like Hive, Impala, OOZIE, Airflow, NIFI, and Kafka.
• Write shell scripts and manage deployments in Linux/Unix environments.
• Collaborate with cross-functional teams in agile ceremonies including daily stand-ups, story pointing, and retrospectives.
• Mentor junior engineers and foster a culture of continuous improvement and technical excellence.

All About You:

• Extensive experience as a Big Data engineer, with expertise in cloud or on-premise data platforms.
• Proficient in at least one modern programming language (Java, Scala, or Python).
• Strong foundation in computer science principles including object-oriented design, data structures, algorithms, and complexity analysis.
• Deep experience with Spark and distributed data processing.
• Hands-on experience with both SQL and NoSQL databases.
• Familiarity with data orchestration and streaming tools (Kafka, Airflow, NIFI, etc.).
• Comfortable working in Linux/Unix environments with basic shell scripting skills.
• Proven ability to design and develop software systems at scale.
• • Strong understanding of Agile methodologies, with the ability to drive iterative delivery and cross-team collaboration.
• Strong communicator with the ability to explain complex concepts to both technical and non-technical audiences, and to influence stakeholders across product, engineering, and acquisition teams.
• Bachelor’s degree in Computer Science, Data Analytics, Mathematics, Software Engineering, or a related field or equivalent practical experience.

#LI-DJ2

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 based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. 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 new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 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, gender-inclusive benefits and many more.

Pay Ranges

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