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
Data Engineer
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
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The Identity Verification group uses machine learning models, large proprietary data sets, and high volume / low latency services to help our customers reduce transaction, account takeover, and financial risks. This position is within our Data Platform team, focused on organizing, transforming, and responsibly governing the data used by our machine learning models and Data Science teams.
L6 BUD
Job Description
Work as part of a Scrum team that is geographically diverse (US west coast and central Europe)
Design, implement, and maintain a robust and high-reliable signal calculation pipeline (feature store) which fulfills the needs of Data Science across the org
Create design documents and supporting diagrams. Incorporate feedback and negotiate trade-offs with product, security, data privacy, and other stakeholders
Lead Retrospectives and Root Cause Analysis to enable continual improvement
Conduct technical interviews for hiring engineering staff and raising the performance bar
Mentor software engineers
Advance company engineering culture by identifying and promoting improved technologies and processes.
Required Skills
Strong computer science background
Spark
SQL
Scala
Working knowledge of:
* Unix
* Cloud infrastructure as it relates to Data pipelines and ETL
* REST APIs and services
* Machine Learning and Data Science
What we're looking for in a candidate
Bachelors degree in Computer Science or related field
Ability and motivation for continual learning
Curiosity and willingness to grow beyond your initial domain
Strong written and verbal communication
Dedication to high engineering standards
Understanding of engineering tradeoffs and designing within constraints
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.