Mastercard
Overview
Principal Data Engineer - Finance Modernization role at Mastercard. Mastercard is seeking talented professionals to join our team and contribute to our mission of connecting and powering an inclusive, digital economy that benefits everyone, everywhere.
Role Overview Mastercard is modernizing and advancing our Finance Technology landscape, covering Billing, Financial Planning, Accounting, Settlement, Treasury, Reporting and Analytics. As a Principal Data Engineer, you will shape and execute the finance transformation technical roadmap. You will design, develop, and deliver high-impact technology solutions that align with business and technical objectives. By collaborating with cross-functional teams, you will ensure solutions meet evolving customer needs while improving performance, scalability, and reliability. This role offers the opportunity to drive technical excellence, mentor engineers, and build solutions in a dynamic, fast-paced environment.
Responsibilities
Collaborate closely with finance, business and technical stakeholders to translate requirements into technical specifications, driving features from inception to delivery.
Partner with data and engineering teams to establish robust data pipelines, implement advanced data modeling, and ensure seamless integration across diverse systems and domains.
Facilitate trade-off discussions with both business and technical stakeholders to balance priorities and make informed decisions.
Ensure alignment between business goals and technical execution, ensuring features and solutions meet business requirements and customer needs.
Participate in sprint planning, retrospectives, and other agile ceremonies to ensure the team is aligned and delivering efficiently.
Drive adoption of best practices in software engineering, including code reviews, testing, and CI/CD.
Optimize the cost/benefit of software features and architecture, ensuring scalability, performance, and operational efficiency.
Act as a technical leader, providing guidance on complex technical challenges and driving resolution, ensuring solutions align with Mastercard’s engineering and data principles and policies.
Identify opportunities for process improvements, helping to streamline workflows and enhance team productivity.
Mentor and guide engineers across various experience levels, helping them grow technically and improve their software and data engineering skills.
Skills And Experiences
Proven experience as a software/data engineer and technical lead, with a strong focus on delivering large-scale software projects in an agile environment.
Experience with data lifecycle management, including ingestion, ETL, modeling, and governance, within highly regulated environments.
Expertise in modern software engineering practices, including agile methodologies, CI/CD, automated testing, and code reviews.
Experience partnering with data and engineering teams to build and manage a single source of truth for data, leveraging end-to-end technology stacks and best practices in data architecture.
Strong programming skills in multiple languages and frameworks, with a focus on building scalable, reliable, and performant solutions.
Ability to translate business and customer requirements into technical specifications, driving the development of high-impact software features.
Experience with performance engineering, ensuring systems are built to scale and meet varying demands.
Experience with cloud infrastructure and services (e.g., AWS, Azure, Google Cloud), and cloud-native software design.
Proven ability to collaborate with cross-functional teams, including business/product owners, and technical stakeholders.
Strong communication and leadership skills, with the ability to engage and influence both technical and non-technical audiences.
Knowledge of security best practices and experience in ensuring the secure development of applications.
Experience in driving technical decision-making and trade-offs, balancing competing priorities such as business goals, technical constraints, and user experience.
Ability to identify process inefficiencies and drive continuous improvement initiatives within the team.
Qualifications
Bachelor’s degree in Data Science, Computer Science, or related subject.
10+ years of engineering experience in software, data engineering, or related field.
Prior experience with financial systems, such as Oracle Financials, Oracle Fusion Cloud, and Hyperion, with experience optimizing their integration into broader data ecosystems, is a plus.
Compensation And Benefits 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. In the US or Canada, accommodations or assistance to complete the online application process or during the recruitment process can be requested by contacting reasonable_accommodation@mastercard.com and identifying the type of accommodation or assistance needed.
In line with Mastercard’s total compensation philosophy, 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 based on location, knowledge, skills, and experience. Mastercard benefits for full-time employees generally include: medical/dental/vision, disability, life insurance; flexible spending accounts; 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, 5 personal days; 10 observed holidays; 401(k) with company match; and other benefits.
Pay Ranges O’Fallon, Missouri: $165,000 - $264,000 USD Miami, Florida: $165,000 - $264,000 USD
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Financial Services, IT Services and IT Consulting, and Technology, Information and Internet
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Role Overview Mastercard is modernizing and advancing our Finance Technology landscape, covering Billing, Financial Planning, Accounting, Settlement, Treasury, Reporting and Analytics. As a Principal Data Engineer, you will shape and execute the finance transformation technical roadmap. You will design, develop, and deliver high-impact technology solutions that align with business and technical objectives. By collaborating with cross-functional teams, you will ensure solutions meet evolving customer needs while improving performance, scalability, and reliability. This role offers the opportunity to drive technical excellence, mentor engineers, and build solutions in a dynamic, fast-paced environment.
Responsibilities
Collaborate closely with finance, business and technical stakeholders to translate requirements into technical specifications, driving features from inception to delivery.
Partner with data and engineering teams to establish robust data pipelines, implement advanced data modeling, and ensure seamless integration across diverse systems and domains.
Facilitate trade-off discussions with both business and technical stakeholders to balance priorities and make informed decisions.
Ensure alignment between business goals and technical execution, ensuring features and solutions meet business requirements and customer needs.
Participate in sprint planning, retrospectives, and other agile ceremonies to ensure the team is aligned and delivering efficiently.
Drive adoption of best practices in software engineering, including code reviews, testing, and CI/CD.
Optimize the cost/benefit of software features and architecture, ensuring scalability, performance, and operational efficiency.
Act as a technical leader, providing guidance on complex technical challenges and driving resolution, ensuring solutions align with Mastercard’s engineering and data principles and policies.
Identify opportunities for process improvements, helping to streamline workflows and enhance team productivity.
Mentor and guide engineers across various experience levels, helping them grow technically and improve their software and data engineering skills.
Skills And Experiences
Proven experience as a software/data engineer and technical lead, with a strong focus on delivering large-scale software projects in an agile environment.
Experience with data lifecycle management, including ingestion, ETL, modeling, and governance, within highly regulated environments.
Expertise in modern software engineering practices, including agile methodologies, CI/CD, automated testing, and code reviews.
Experience partnering with data and engineering teams to build and manage a single source of truth for data, leveraging end-to-end technology stacks and best practices in data architecture.
Strong programming skills in multiple languages and frameworks, with a focus on building scalable, reliable, and performant solutions.
Ability to translate business and customer requirements into technical specifications, driving the development of high-impact software features.
Experience with performance engineering, ensuring systems are built to scale and meet varying demands.
Experience with cloud infrastructure and services (e.g., AWS, Azure, Google Cloud), and cloud-native software design.
Proven ability to collaborate with cross-functional teams, including business/product owners, and technical stakeholders.
Strong communication and leadership skills, with the ability to engage and influence both technical and non-technical audiences.
Knowledge of security best practices and experience in ensuring the secure development of applications.
Experience in driving technical decision-making and trade-offs, balancing competing priorities such as business goals, technical constraints, and user experience.
Ability to identify process inefficiencies and drive continuous improvement initiatives within the team.
Qualifications
Bachelor’s degree in Data Science, Computer Science, or related subject.
10+ years of engineering experience in software, data engineering, or related field.
Prior experience with financial systems, such as Oracle Financials, Oracle Fusion Cloud, and Hyperion, with experience optimizing their integration into broader data ecosystems, is a plus.
Compensation And Benefits 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. In the US or Canada, accommodations or assistance to complete the online application process or during the recruitment process can be requested by contacting reasonable_accommodation@mastercard.com and identifying the type of accommodation or assistance needed.
In line with Mastercard’s total compensation philosophy, 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 based on location, knowledge, skills, and experience. Mastercard benefits for full-time employees generally include: medical/dental/vision, disability, life insurance; flexible spending accounts; 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, 5 personal days; 10 observed holidays; 401(k) with company match; and other benefits.
Pay Ranges O’Fallon, Missouri: $165,000 - $264,000 USD Miami, Florida: $165,000 - $264,000 USD
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Financial Services, IT Services and IT Consulting, and Technology, Information and Internet
#J-18808-Ljbffr