Senior Data Engineer

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 worlds 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 Data Engineer who will lead the team 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.

Help found a new, fast-growing engineering team!

Role
As a Senior Data Engineer, you will:
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
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 features
Collaborate across teams with exceptional peers who are passionate about what they do

All about you / Ideal Candidate Qualifications
3+ years of data engineering experience in an agile production environment
Experience leading the design and implementation of complex features
Experience leading a large project and working with other data and software engineers
Strong technologist eager to learn new technologies and frameworks. The following is a plus:
oProficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms
oExperience 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
oExperience with SQL, Multi-threading, Message Queuing & Distributed Systems.
oKnowledge of Splunk or other alerting and monitoring solutions.

Corporate Security Responsibility

• 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.