Data Engineer II

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

Who is Mastercard?

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.

Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution.


The Role:

As a Data Engineer in the Cyber Analytics team at Mastercard, you will play a vital role in building and maintaining the data infrastructure that supports our mission to detect and mitigate cyber vulnerabilities across the Mastercard ecosystem. You’ll work closely with data scientists, machine learning engineers, and software developers to ensure secure, scalable, and high-quality data pipelines.


Key Responsibilities
• Collaborate with cross-functional teams to design and implement scalable data pipelines and workflows.
• Support the development of a modern data platform using cloud-native and big data technologies.
• Ensure data quality and integrity through testing, validation, and monitoring.
• Assist in the integration of data sources and the delivery of data to analytics and ML teams.
• Contribute to the deployment and maintenance of production-grade data solutions in partnership with software engineering teams.


All About You:
• You are a curious and collaborative problem-solver who enjoys working with data and technology to drive impact.
• You have a solid foundation in data engineering and are eager to grow your skills in cybersecurity and analytics.
• You communicate clearly and work well in a team environment, sharing knowledge and learning from others.
• Proficiency in SQL and Python for data manipulation and scripting.
• Experience with big data tools such as Spark, Hive, or Kafka.
• Familiarity with ETL tools and orchestration frameworks like Airflow or NiFi.
• Exposure to cloud platforms (preferably AWS) and data lake architectures.
• Hands-on experience with Databricks, including Medallion Architecture and Delta tables.
• Understanding of graph databases and their application in cybersecurity or fraud analytics.
• Knowledge of CI/CD practices and infrastructure-as-code tools like GitHub Actions or Terraform is a plus.
• Basic knowledge of Linux/Unix systems and shell scripting.
• Interest or experience in cybersecurity, fraud detection, or digital payments is a plus.
• Higher-education degree where you can demonstrate background knowledge of data, coding, and/or cyber (e.g., Mathematics, Statistics, Physics, Engineering, Cybersecurity, Computer Science), or equivalent work experience in which you acquired this background knowledge.

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.