Senior Data Engineer

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:
Marketing Services Technology (MST) delivers the platforms, data products, and technology capabilities that power marketing measurement, customer insights, campaign optimization, and data-driven decision making across Mastercard.

We are seeking a Senior Data Engineer to design, build, and operate scalable data platforms, pipelines, and services supporting Marketing Services products and analytics. This role partners closely with Product, Engineering, Data Science, Analytics, and Business stakeholders to deliver secure, reliable, high-quality data solutions that enable campaign measurement, reporting, customer insights, AI/ML, and marketing optimization.

The ideal candidate brings strong ownership, accountability, and a proactive problem-solving mindset; someone who takes initiative and drives issues to resolution independently rather than waiting for direction.

Role:

• Design, build, deploy, and maintain scalable batch, streaming, and real-time data pipelines supporting business-critical products and analytics workloads.
• Develop reusable frameworks and services for data ingestion, transformation, orchestration, and delivery across multiple platforms and environments.
• Build and support enterprise data warehouse, data lake, and lakehouse solutions for large-scale processing and analytics.
• Lead initiatives focused on platform scalability, performance, reliability, resiliency, and operational efficiency.
• Implement and enhance data quality, observability, governance, security, lineage, and monitoring across data ecosystems.
• Partner with product, engineering, analytics, and business teams to translate requirements into measurable business outcomes.
• Support modernization and cloud migration initiatives, evolving legacy platforms to modern cloud-native architectures.
• Enable advanced analytics, reporting, AI/ML, experimentation, and customer insights through trusted data foundations.
• Adhere to engineering best practices, CI/CD automation, infrastructure-as-code, and operational excellence.
• Troubleshoot complex production issues and independently lead root-cause analysis to improve platform stability and reliability.
• Mentor engineers and provide technical leadership, promoting innovation and knowledge sharing.
• Contribute to architectural decisions and technology roadmaps shaping the future of MST's data platforms.

All About You:

• Strong hands-on experience with Hive, Spark/PySpark, Apache Kafka.
• Proficiency in one or more programming languages such as Python, Java, Scala, or SQL.
• Experience building scalable data platforms and distributed data processing solutions.
• Experience developing data pipelines supporting analytics, reporting, machine learning, and operational data products.
• Deep understanding of data modeling, ETL/ELT design patterns, data architecture, and data lifecycle management.
• Knowledge of data governance, security, privacy, lineage, metadata management, and regulatory compliance.
• Experience implementing CI/CD, DevOps automation, infrastructure-as-code, and observability frameworks.
• Strong problem-solving skills for diagnosing and resolving complex challenges in distributed environments.
• Demonstrated ownership, accountability, initiative, and independent execution - a builder who drives problems to resolution.
• Strong communication and stakeholder management skills across engineering, product, analytics, and business.

Preferred:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline; advanced degree a plus.
• AWS data engineering experience.
• Azure Data Engineering / DataOps exposure.
• Marketing analytics or marketing technology domain knowledge.
• Experience supporting large-scale modernization or cloud migration initiatives.
• Experience with data warehousing and cloud data engineering concepts and solutions.

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

Atlanta, Georgia: $115,000 - $184,000 USD