Senior Data Engineer

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

Senior Data Engineer

Overview:
Mastercard Services Technology is seeking a Senior Data Engineer to contribute to the data management aspects of client engagements for Test & Learn and other Services products. In this role, you will develop robust data pipelines, implement scalable data solutions, and collaborate with cross-functional teams. Engineers work in small, flexible teams. Every team member contributes to designing, building, and testing features.
The Test & Learn team aims to build industry-leading business experimentation software that brings sophisticated analytic techniques to business users around the world. We are rapidly expanding our product offerings and innovating on how we deliver Test & Learn solutions to our clients.
This is a hybrid role based in Arlington, VA, with an expectation of three days per week onsite.


Role:
• Independently lead parallel projects through design, implementation, automation, and maintenance of large-scale enterprise ETL processes for a global client base.
• Act as an expert technical resource within the team and region
• Deliver on-time, accurate, high-value, and robust data solutions across multiple clients and industry sectors.
• Use SQL and other database technologies to optimize data processing. Develop scalable and efficient code to reduce the time required to handle large data sets.
• Partner with analytics and business stakeholders to understand business questions and translate them into data requirements.
• Leverage industry best practices, including version control, code reviews, and data validation, to ensure quality in data processes.
• Implement best practices and design streamlined processes to automate routine data tasks.
• Collaborate with and support junior Data Engineers, ensuring efficient execution of their tasks while providing mentorship and guidance.
• Build trust-based working relationships with peers and clients across local and global teams.
• Comply and uphold all Mastercard internal policies and external regulations.

All About You:
• Experience as a Data Engineer or in a similar role, with a strong understanding of data engineering concepts and methodologies, including data modeling and database design to support scalable data solutions.
• Proven self-motivated professional with experience working on collaborative teams
• Expertise writing and optimizing SQL queries to retrieve, manipulate, and analyze data efficiently.
• Experience with Relational Databases (RDBMS), with strong hands-on expertise in Microsoft SQL Server and related technologies.
• Familiarity with ETL frameworks and the ability to design, implement, and maintain data pipelines.
• Experience with Databricks and Spark is a plus, but not required.
• Demonstrate curiosity about emerging developer productivity tools (e.g., GitHub Copilot); prior experience is not required, but a willingness to learn and experiment is highly valued.
• Demonstrate skills in the ability to innovate, think critically and disaggregate problems.
• Able to manage multiple projects and differing project priorities. Able to provide oversight, validation, and quality control to team’s work product.
• Excellent verbal and written communication skills, with the ability to articulate complex ideas clearly and concisely to both technical and non-technical stakeholders.
• Bachelor's degree in a quantitative discipline such as Engineering, Mathematics, Finance, Business, or a related field. Equivalent practical experience may also be considered.


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.

#LI-NF1
#AI3

Mastercard is a merit-based, 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. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during