Senior Data Engineer

service, matching as a service or forecasting as a service) that also includes a comprehensive data platform. These services will be offered through a series of APIs that deliver data and insights from various points along a central data store. This individual will partner closely with other areas of the business to build and enhance solutions that drive value for our customers. Engineers work in small, flexible teams. Every team member contributes to designing, building, and testing features. The range of work you will encounter varies from building intuitive, responsive UIs to designing backend data models, architecting data flows, and beyond. There are no rigid organizational structures, and each team uses processes that work best for its members and projects. Here are a few examples of products in our space: Portfolio Optimizer (PO) is a solution that leverages Mastercard’s data assets and analytics to allow issuers to identify and increase revenue opportunities within their credit and debit portfolios. Ad Insights uses anonymized and aggregated transaction insights to offer targeting segments that have high likelihood to make purchases within a category to allow for more effective campaign planning and activation. Help found a new, fast-growing engineering team! Position RESPONSIBILITIES: As a Senior Software Engineer, you will: Play a large role in scoping, design and implementation of complex features Push the boundaries of analytics and powerful, scalable applications Design and implement intuitive, responsive UIs that allow issuers to better understand data and analytics Build and maintain analytics and data models to enable performant and scalable products Ensure a high-quality code base by writing and reviewing performant, well-tested code Mentor junior software engineers and teammates 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 new modules and features Collaborate across teams with exceptional peers who are passionate about what they do Ideal Candidate QUALIFICATIONS: 7+ years of full stack engineering experience in an agile production environment Experience leading the design and implementation of large, complex features in full-stack applications Ability to easily move between business, data management, and technical teams; ability to quickly intuit the business use case and identify technical solutions to enable it Experience leveraging open source tools, predictive analytics, machine learning, Advanced Statistics, and other data techniques to perform analyses • High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, Ni Fi, Scoop), SQL to build Big Data products & platforms • Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting Experience coaching and mentoring junior teammates Experience leading a large technical effort that spans multiple people and teams Proficiency with Java/Spring Boot, .NET/C#, React, Redux, Typescript, and SQL Server or other object-oriented languages, front-end frameworks, and/or relational database technologies Strong technologist with proven track record of learning new technologies and frameworks Customer-centric development approach Passion for analytical / quantitative problem solving Experience identifying and implementing technical improvements to development processes Collaboration skills with experience working with people across roles and geographies Motivation, creativity, self-direction, and desire to thrive on small project teams Superior academic record with a degree in Computer Science or related technical field Strong written and verbal English communication skills 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. Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.