Principal Data Engineer for AI Platform

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

Principal Data Engineer for AI Platform

About Mastercard : Mastercard is a global technology company in the payments industry, connecting billions of consumers, financial institutions, merchants, governments, and businesses worldwide. We are driving the future of commerce by enabling secure, simple, and smart transactions. Artificial Intelligence is at the core of our strategy to make Mastercard stronger and commerce safer, smarter and more personal. At Mastercard, we’re building next‑generation AI‑powered platforms to drive innovation and impact.

Role

• Drive modernization from legacy and on‑prem systems to modern, cloud‑native, and hybrid data platforms.
• Architect and lead the development of a Multi‑Agent ETL Platform for batch and event streaming, integrating AI agents to autonomously manage ETL tasks such as data discovery, schema mapping, and error resolution.
• Define and implement data ingestion, transformation, and delivery pipelines using scalable frameworks (e.g., Apache Airflow, Nifi, dbt, Spark, Kafka, or Dagster).
• Leverage LLMs, and agent frameworks (e.g., LangChain, CrewAI, AutoGen) to automate pipeline management and monitoring.
• Ensure robust data governance, cataloging, versioning, and lineage tracking across the ETL platform.
• Define project roadmaps, KPIs, and performance metrics for platform efficiency and data reliability.
• Establish and enforce best practices in data quality, CI / CD for data pipelines, and observability.
• Collaborate closely with cross‑functional teams (Data Science, Analytics, and Application Development) to understand requirements and deliver efficient data ingestion and processing workflows.
• Establish and enforce best practices, automation standards, and monitoring frameworks to ensure the platform’s reliability, scalability, and security.
• Build relationships and communicate effectively with internal and external stakeholders, including senior executives, to influence data‑driven strategies and decisions.
• Continuously engage and improve teams’ performance by conducting recurring meetings, knowing your people, managing career development, and understanding who is at risk.
• Oversee deployment, monitoring, and scaling of ETL and agent workloads across multi cloud environments.
• Continuously improve platform performance, cost efficiency, and automation maturity.

All About You

Why Join Us?

At Mastercard, you’ll help shape the future of AI in global commerce—solving complex challenges at scale, driving financial inclusion, and reinforcing the trust and security that define our brand. You’ll work with world‑class talent, cutting‑edge technologies, and will make a lasting impact.

Equal Opportunity Statement

#AI1 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

Compensation and Benefits

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 : $170,000 - $273,000 USD

Purchase, New York : $170,000 - $273,000 USD

San Francisco, California : $178,000 - $284,000 USD

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