Lead Data Engineer, Mastercard
Global payments technology company
Be an early applicant
Global payments technology company
1001+ employees
Be an early applicant
1001+ employees
Company mission
To connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible.
Role
Who you are
- 5+ years of data engineering experience in an agile production environment
- Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale
- Experience leading the design and implementation of complex features
- Experience leading a large project and working with other data and software engineers
- Experience working in enterprise databases and ensure follow industry best practices around data privacy
- Expertise in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms
- Experience in Java/.net, Scala, or Python technologies and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting
- Knowledge of AI/ML, data analytics, and data product development with emphasis on data quality, data privacy, and localization
- Experience in anonymizing data, data product development, analytical models, and AI governance
- Experience working with modern data engineering and analytics platforms, including hands-on expertise in implementing scalable architectures and optimizing data workflows
- Experience with cloud platforms for data engineering and machine learning workflows
- Effective communication and collaboration skills to work with both technical and non-technical stakeholders
- Flexible to work with global offices across several time zones
- Outstanding problem-solving skills and the ability to navigate complex data challenges
Desirable
- Experience with AWS cloud services for data engineering and ML workflows
- Hands-on experience with Databricks, including Medallion Architecture and Delta Lake
- Familiarity with industry best practices for collection and use of data
- Strong technologist eager to learn new technologies and frameworks
- Project management skills and a demonstrated ability to understand complex information product constructs
- Knowledge of Splunk or other alerting and monitoring solutions
- Experience with agile methodologies, DevOps practices, and CI/CD
- Be able to engage and drive conversations with customers as needed
What the job involves
- Mastercard Foundry R&D is looking for a talented Lead Data Engineer to join the Mastercard Foundry Research and Development team
- In this role you will be part of a highly agile team building exciting and innovative products delivered at scale to global markets
- Provide technical leadership in data architecture, ensuring best practices for data modeling, storage, and retrieval
- Lead the scoping, design and implementation of complex features including multi-layered data workflows
- Lead and push the boundaries of analytics and powerful, scalable data workflows and applications
- Build and maintain data models and data pipelines to enable performant and scalable products
- Work with multiple sources of data, storage systems, and building processes and pipelines to provide cohesive datasets for analysis and modeling
- Ensure a high-quality code base by writing and reviewing performant & scalable, well-tested code
- Collaborate with cross-functional teams to define data requirements and design solutions that align with business objectives
- Oversee data governance and quality, ensuring data accuracy, consistency, and compliance with industry standards
- Mentor software engineers & data engineers, establishing data best practices and creating up-skilling opportunities for the team
- Drive innovative improvements to team development processes
- Partner with Product Managers and Customer Experience Designers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building features
- Collaborate across teams with exceptional peers who are passionate about what they do
Application process
- End Date: February 28, 2026
Our take
Mastercard is in the global payments business, and operates the world's fastest payments processing network. Its products and solutions have become central to everyday commerce across the world, in activities ranging from shopping and travelling to running businesses.
As the economy has become more and more digitised, Mastercard has been a leading player in helping businesses and individuals across the globe embrace card payments and digital banking. One of the world's largest companies, its revenue has seen consistent gain in the last 20 years.
The challenge for modern payments companies is that payments are always changing, as seen in the astronomical rise of contactless payments over the last decade. Mastercard's acquisition of blockchain systems, and an overall focus on leveraging its technology towards a digital economy, has placed the company in good stead to keep up to date with current trends, like cryptocurrency, in the digitised payments world.
Steph
Company Specialist at Welcome to the Jungle
Insights
21% employee growth in 12 months
Company
Company benefits
- Gym membership
- Share purchase options
- Extra holiday purchase optional
- Work from home opportunities
- Health insurance
Company HQ
Purchase, Harrison, NY
Leadership
Michael Miebach
(CEO)Has served in a variety of roles at the company, including President and CPO. Currently Board Member at IBM, Accion, the World Resources Institute, the US-India Strategic Partnership Forum, and the Metropolitan Opera. They are also a Trustee of USCIB.
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