Job Title:
Senior Data Engineer
Overview:
About the Role
As a Senior Data Engineer, you'll take ownership of building and optimizing data platforms, pipelines, and systems that enable advanced analytics, machine learning, and business insights. You'll collaborate closely with engineering, product, and analytics teams to deliver reliable, production-ready data solutions.
Role
•Design, build, and maintain scalable data platforms leveraging Data Engineering best practices
•Develop and optimize large-scale data pipelines using Distributed Data Processing frameworks
•Implement and manage automated workflows using Workflow Orchestration to ensure reliable data movement and processing
•Design and integrate data from multiple sources using Data Integration techniques to create a unified, accessible data layer
•Build and maintain scalable Data Lakes for storing and analyzing large, diverse datasets
•Define and implement robust Data Modeling strategies to support analytics and reporting use cases
•Design and optimize Database Design solutions to ensure performance, scalability, and data integrity
•Process and transform large datasets using efficient Data Processing techniques to generate actionable insights
•Ensure strong Data Security practices, including data protection, governance, and compliance
•Lead system design discussions and contribute to architectural decisions
•Own full SDLC delivery including requirements, design, development, testing, and deployment
•Troubleshoot and resolve production issues through structured root cause analysis
•Drive improvements in performance, scalability, and reliability of data systems
•Collaborate across teams to align data solutions with business needs
•Mentor team members and contribute to knowledge sharing and technical development
All About You
•Experience designing and building scalable systems using modern Data Engineering principles
•Strong experience with Distributed Data Processing and large-scale data platforms
•Hands-on experience with Data Integration, Data Modeling, and Data Processing
•Experience building and maintaining Data Lakes and modern data architectures
•Solid understanding of Database Design and data optimization techniques
•Knowledge of Workflow Orchestration tools and end-to-end pipeline automation
•Strong understanding of Data Security and data governance practices
•Proven ability to work independently on complex technical challenges
•Strong troubleshooting and root cause analysis skills in data environments
•Experience working in Agile/Scrum environments and collaborating across teams
•Strong communication and collaboration skills, with the ability to influence decisions
•Experience mentoring or supporting other engineers
•Bachelor's degree or equivalent experience
Nice to Have
•Experience with cloud platforms (AWS, Azure, or GCP) and modern data tooling
•Experience with event-driven or streaming architectures
•Exposure to machine learning or advanced analytics environments
•Experience in high-throughput or regulated environments (payments, banking, fintech)
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.
To find US Salary Ranges, visit People Place. Under the Compensation tab, select "Salary Structures." Within the text of "Salary Structures," click on the link "salary structures 2025," through which you will be able to access the salary ranges for each Mastercard job family. For more information regarding US benefits, visit People Place and review the Benefits tab and the Time Off & Leave tab.