Senior Data Engineer- Targeting Analytics - MasterCard

Our Purpose We work 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. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results. Title and Summary Senior Data Engineer- Targeting Analytics Overview We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. Our team within Mastercard – Data & Services: The Data & Services team is a key differentiator for Mastercard, providing the cutting-edge services that are used by some of the world's largest organizations to make multi-million-dollar decisions and grow their businesses. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services. Targeting Analytics Program: Within the D&S Technology Team, the Targeting Analytics program is a relatively new program that is comprised of a rich set of products that provide accurate perspectives on Credit Risk, Portfolio Optimization, and Ad Insights. Currently, we are enhancing our customer experience with new user interfaces, moving to API-based data publishing to allow for seamless integration in other Mastercard products and externally, utilizing new data sets and algorithms to further analytic capabilities, and generating scalable big data processes. We are looking for an innovative senior software engineer who will be responsible for the design and build of a full stack web application and data pipelines, and thrive in a fast-paced, agile environment. 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. - Audiences 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. - Credit Risk products are a new suite of APIs and tooling to provide lenders real-time access to KPIs and insights serving thousands of clients to make smarter risk decisions using Mastercard data. Role As a Senior Data Engineer, you will: - 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. - Lead the scoping, design and implementation of complex features. - Lead and push the boundaries of analytics and powerful, scalable applications. - Design and implement intuitive, responsive UIs that allow issuers to better understand data and analytics. - 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. All about you / Ideal Candidate Qualifications - 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, NiFi, 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. - 4+ years of full stack engineering experience in an agile production environment. - Experience leading the design and implementation of complex features in full-stack applications. - Experience leading a large project and working with other developers - Strong technologist eager to learn new technologies and frameworks. - Proficiency with .NET/C#, React, Redux, Typescript, Java JDK 8, Tomcat, Spring Boot, Spring Security, Maven, Hibernate / JPA, REST, and SQL Server or other object-oriented languages, front-end frameworks, and/or relational database technologies. - Solid experience with RESTful APIs and JSON/SOAP based API. - Experience with SQL, Multi-threading, Message Queuing & Distributed Systems. - Experience with Design Patterns. - Expertise in Junit or other automated unit testing frameworks. - Knowledge of Splunk or other alerting and monitoring solutions. - Fluent in the use of Git, Jenkins. - Knowledge of cloud native development such as cloud foundry, AWS, etc. - Customer-centric development approach. - Passion for analytical / quantitative problem solving. - Ability to identify and implement improvements to team development processes. - Strong collaboration skills with experience collaborating across many people, 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. Location Requirements: This is a hybrid position based in Mastercard's Arlington, Virginia Tech Hub. This role is not eligible for Mastercard’s work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship. #AI2 #LI-TE1 Mastercard is an 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. 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. 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.