Mastercard · 2 hours ago
Senior Data Engineer
Mastercard is a global technology company in the payments industry, committed to building a sustainable economy. They are seeking a Senior Data Engineer to develop robust data pipelines and implement scalable data solutions, collaborating with cross-functional teams to support client engagements.
FinancePaymentsInformation TechnologyFinancial Services
Responsibilities
Independently lead 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, solutions, and industry sectors
Apply strong analytical skills to understand business questions, translate them into data requirements, and design datasets that support reporting, experimentation, and advanced analytics use cases
Implement best practices and collaborate in the design of effective streamlined processes for a complex global solutions group
Leverage industry best practices including proper use of source control, participation in code reviews, data validation, and testing
Collaborate with and support junior Data Engineers, ensuring efficient execution of their tasks while providing mentorship and guidance
Partner with analytics and business stakeholders to validate data, interpret results, and ensure data solutions are fit for decision-making
Build trust-based working relationships with peers and clients across local and global teams
Comply and uphold all Mastercard internal policies and external regulations
Qualification
Required
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 with 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
Demonstrated skills in the ability to innovate, think critically and disaggregate problems. Able to provide oversight, validation, and quality control to own work product
Able to easily move between business, data management, and technical teams. Able to quickly intuit the business use case and identify technical solutions
Able to manage multiple projects and differing project priorities
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
Comply and uphold all Mastercard internal policies and external regulations
Preferred
Experience with Databricks and Spark is a plus, but not required
Demonstrates 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
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
Company
Mastercard
Mastercard is a financial network that processes payments between banks and cardholders.
Funding
Current Stage
Public CompanyTotal Funding
unknown2006-05-25IPO
Leadership Team
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