Data Engineer II: Scalable Analytics & Cloud Pipelines

Mastercard Inc.; Arlington (VA); Hybrid; USD 106,000 - 169,000; Full time

Benefits offered by this job

Health insurance

401(k) company match

Paid time off

Job summary

Mastercard Inc. in Arlington, VA seeks a Software Engineer II to design and build data‑driven analytical solutions that power economic insights for clients. Hybrid role with three days onsite, working with data scientists and engineers to develop scalable data systems and pipelines.

You will contribute to moving from on‑prem Hadoop to cloud Databricks, building robust architectures and high‑quality code, while collaborating across teams to deliver reliable, scalable analytics products.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Information Technology, or equivalent practical experience.
• Strong programming fundamentals; Python preferred (experience in other high‑level languages also acceptable).
• Solid understanding of object‑oriented design principles and software engineering best practices.
• Strong SQL expertise, including writing optimized and maintainable queries.
• Familiarity with Linux command‑line environments.
• Exposure to big data technologies such as Spark, Hive, or Impala is a plus.
• Experience or interest in cloud platforms such as Databricks, AWS or similar (Azure or GCP) is a plus.
• Interest in or exposure to machine learning, AI, or emerging agent‑based systems is a strong plus.
• Experience working in Agile development environments.
• Passionate about solving complex, real‑world challenges through technology.
• Self‑motivated and proactive, with the ability to take ownership and deliver results in fast‑paced, collaborative settings.
• Excellent verbal and written communication skills, capable of explaining complex technical concepts to diverse audiences.

Responsibilities

• Design and build scalable, maintainable data pipelines for economic insight products.
• Develop robust data processing solutions using Python, Spark, Hive, and Impala.
• Drive the team’s pivot from on‑prem to cloud technologies, such as Databricks, to increase robustness and scale.
• Build and optimize data architecture and schemas to support analytics and ML use cases.
• Improve performance, reliability, and maintainability of large‑scale data systems for fast troubleshooting and data delivery.
• Write clean, testable code and participate in peer code reviews to ensure high engineering standards.
• Explore and adopt new tools, frameworks, and approaches to improve data processing and analytics capabilities.
• Collaborate cross‑functionally with data scientists, product managers, and infrastructure teams to deliver high‑impact solutions.
• Contribute to all stages of development lifecycles, including design, implementation, and testing.
• Collaborate with product and engineering team members on innovative new product ideas and capabilities to accelerate growth.

Skills

Python

SQL

Linux

Spark

Hive

Impala

Databricks

AWS

Agile

Communication

Ownership

Education

Bachelor's degree in Computer Science, Information Systems, Information Technology, or equivalent

Tools

Hadoop ecosystem

Databricks

Spark

Hive

Impala

AWS

Job description

Mastercard Inc. in Arlington, VA seeks a Software Engineer II to design and build data‑driven analytical solutions that power economic insights for clients. Hybrid role with three days onsite, working with data scientists and engineers to develop scalable data systems and pipelines.

You will contribute to moving from on‑prem Hadoop to cloud Databricks, building robust architectures and high‑quality code, while collaborating across teams to deliver reliable, scalable analytics products.