Senior Data Engineer

Mastercard • Arlington, VA

16d • $132,000 - $212,000 • Hybrid

About The Position

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.

Requirements

• 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.
• 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.
• Candidates must be authorized to work in the United States now and in the future without employer sponsorship.

Nice To Haves

• Experience with Databricks and Spark is a plus, but not required.

Responsibilities

• 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.

Benefits

• insurance (including medical, prescription drug, dental, vision, disability, life insurance)
• flexible spending account and health savings account
• paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
• 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior