Lead design, implementation, automation, and maintenance of large-scale ETL pipelines and scalable data solutions. Translate business questions into data requirements, validate and test datasets, mentor junior engineers, collaborate with analytics and stakeholders, and ensure robust, production-ready data solutions across global clients.
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 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.
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 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. • 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. • 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.
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 the recruitment process, please contact [email protected] 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:
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 and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. 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 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; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.
Pay Ranges
Arlington, Virginia: $132,000 - $212,000 USD
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 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.
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 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. • 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. • 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.
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 the recruitment process, please contact [email protected] 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 and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. 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 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; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.
Pay Ranges
Arlington, Virginia: $132,000 - $212,000 USD
Top Skills
Sql,Microsoft Sql Server,Relational Databases,Etl Frameworks,Databricks,Spark,Git,Github Copilot
Mastercard London, England Office
1 Angel Lane, London, United Kingdom, EC4R 3AB
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