Software Engineer II – Data Platforms

About the role

Mastercard is seeking a Software Engineer II to design and build data‑driven analytical solutions that power economic insights for its customers. The role focuses on creating scalable data systems, optimizing pipelines, and supporting machine‑learning capabilities that enable business and client decision‑making.

Key responsibilities

• Design, develop, and maintain scalable data pipelines for SpendingPulse and new economic insight products.
• Implement data processing solutions using Python, Spark, Hive, and Impala.
• Build and optimize data architecture and schemas for analytics and machine‑learning use cases.
• Improve performance, reliability, and maintainability of large‑scale data systems.
• Write clean, testable code and participate in peer code reviews.
• Explore and adopt new tools, frameworks, and approaches to enhance data processing.
• Collaborate with data scientists, product managers, and infrastructure teams.
• Contribute throughout the development lifecycle, from design to testing.

Required profile

• Previous experience in software engineering, data engineering, or a related field.
• Strong programming fundamentals, preferably in Python.
• Solid understanding of data processing concepts and large‑scale systems.

Required skills

• Python
• Apache Spark
• Hive
• Impala
• Hadoop ecosystem
• Databricks