Data Engineer II
Mastercard
•
Arlington, VA
0
0
0
0
Not Applicable
Posted March 14, 2026
Job link
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Responsibilities
Commitments
Responsibilities
- Support the design, implementation, and maintenance of enterprise ETL processes for data platforms, for a global client base.
- Assist in the data delivery process, working alongside Data Engineers and Analysts to support 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.
- Learn and apply industry best practices, including version control, code reviews, and data validation, to ensure quality in data processes.
- Participate in efforts to design streamlined processes to automate routine data tasks.
- Build trust-based working relationships with peers and clients across local and global teams.
- Collaborate with senior and peer engineers on multiple projects in parallel.
- Comply with all Mastercard internal policies and adhere to external regulations.
- 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.
Commitments
This is a hybrid role based in Arlington, VA, with an expectation of three days per week onsite.
This role is not eligible for Mastercard’s work authorization sponsorship.
Candidates must be authorized to work in the United States now and in the future without employer sponsorship.
#AI3
Abide by Mastercard’s security policies and practices;
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
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.
Not Met Priorities
What still needs stronger evidence
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.
- Strong knowledge of 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 handle tasks on multiple projects and differing project priorities
- Ability to analyze and troubleshoot data issues and provide solutions with minimal supervision.
- Basic knowledge of testing and validating data to ensure accuracy and consistency in data pipelines.
- Excellent verbal and written communication skills, with the ability to articulate complex ideas clearly and concisely to both technical and non-technical stakeholders.
- Candidates must be authorized to work in the United States now and in the future without employer sponsorship.
Preferred Skills
- 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.
- Basic knowledge of testing and validating data to ensure accuracy and consistency in data pipelines.
- Equivalent practical experience may also be considered.
Education
- (Not required) – Bachelor's degree in a quantitative discipline such as Engineering, Mathematics, Finance, Business, or a related field.
- (Not required) – Equivalent practical experience may also be considered.
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
Data Engineer II
Overview
Mastercard Services Technology is seeking a Data Engineer II 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
Support the design, implementation, and maintenance of enterprise ETL processes for data platforms, for a global client base.
Assist in the data delivery process, working alongside Data Engineers and Analysts to support 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.
Learn and apply industry best practices, including version control, code reviews, and data validation, to ensure quality in data processes.
Participate in efforts to design streamlined processes to automate routine data tasks.
Build trust-based working relationships with peers and clients across local and global teams. Collaborate with senior and peer engineers on multiple projects in parallel.
Comply with all Mastercard internal policies and adhere to 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.
Strong knowledge of 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 handle tasks on multiple projects and differing project priorities
Ability to analyze and troubleshoot data issues and provide solutions with minimal supervision.
Basic knowledge of testing and validating data to ensure accuracy and consistency in data pipelines.
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. Candidates must be authorized to work in the United States now and in the future without employer sponsorship.
#AI3
Pay Ranges
Arlington, Virginia: 106,000.00 - 169,000.00 USD
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 reasonable_accommodation@mastercard.com 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.
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
Data Engineer II
Overview
Mastercard Services Technology is seeking a Data Engineer II 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
Support the design, implementation, and maintenance of enterprise ETL processes for data platforms, for a global client base.
Assist in the data delivery process, working alongside Data Engineers and Analysts to support 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.
Learn and apply industry best practices, including version control, code reviews, and data validation, to ensure quality in data processes.
Participate in efforts to design streamlined processes to automate routine data tasks.
Build trust-based working relationships with peers and clients across local and global teams. Collaborate with senior and peer engineers on multiple projects in parallel.
Comply with all Mastercard internal policies and adhere to 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.
Strong knowledge of 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 handle tasks on multiple projects and differing project priorities
Ability to analyze and troubleshoot data issues and provide solutions with minimal supervision.
Basic knowledge of testing and validating data to ensure accuracy and consistency in data pipelines.
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. Candidates must be authorized to work in the United States now and in the future without employer sponsorship.
#AI3
Pay Ranges
Arlington, Virginia: 106,000.00 - 169,000.00 USD
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 reasonable_accommodation@mastercard.com 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.