Software Engineer II

Mastercard is seeking a Software Engineer II for its Economic Intelligence team to build data-driven analytical solutions that power economic insights for customers. The role focuses on scalable data systems and pipelines, cloud data platforms, and analytics and machine learning capabilities in collaboration with cross-functional teams.

Responsibilities

• Design and build scalable, maintainable data pipelines for economic insight products
• Develop robust data processing solutions using technologies such as Python, Spark, Hive, and Impala
• Drive the team’s pivot from on-prem to cloud technologies, such as Databricks, to increase the robustness and scale of our analytic capabilities
• Build and optimize data architecture and schemas to support analytics and machine learning use cases
• Improve performance, reliability, and maintainability of large-scale data systems to enable fast troubleshooting and consistent 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 the development of lifecycles, including design, implementation, and testing
• Collaborate with product and engineering team members on innovative new product ideas and capabilities to accelerate growth of the business

Preferred

• Python preferred
• 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
• Python
• Big Data Technologies
• Apache Spark
• Apache Hive
• Apache Impala
• Cloud Platforms
• Databricks
• AWS
• Microsoft Azure
• Google Cloud Platform
• Machine Learning
• Artificial Intelligence
• Agent-Based Systems

Benefits

• Hybrid role based in Arlington, VA, with an expectation of three days per week onsite.
• For full-time (and certain part-time) employees generally: insurance (including medical, prescription drug, dental, vision, disability, and life insurance).
• For full-time (and certain part-time) employees generally: flexible spending account and health savings account.
• For full-time (and certain part-time) employees generally: 16 weeks of new parent leave and up to 20 days of bereavement leave.
• For full-time (and certain part-time) employees generally: 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire.
• For full-time (and certain part-time) employees generally: 10 annual paid U.S. observed holidays.
• For full-time (and certain part-time) employees generally: 401k with a best-in-class company match.
• For eligible roles: deferred compensation.
• For full-time (and certain part-time) employees generally: fitness reimbursement or on-site fitness facilities.
• For full-time (and certain part-time) employees generally: eligibility for tuition reimbursement.

Company

• Digital payments network for consumers, businesses, and governments
• Purchase, New York, USA
• http://www.mastercard.com/
• Founded in 1966
• 10001+ employees

Qualifications

• Previous experience in software engineering, data engineering, or related field
• Strong programming fundamentals
• 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
• 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
• Bachelor's degree in Computer Science, Information Systems, Information Technology, or equivalent practical experience
• candidates must be eligible to work in the United States now or in the future without employer sponsorship
• Experience in other high-level languages also acceptable
• Candidates must be eligible to work in the United States now or in the future without employer sponsorship
• Python preferred
• 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

Required skills

• AWS, Agile Development, Azure, Data Engineering, Databricks, Google Cloud Platform, Hive, Impala, Linux, Object-Oriented Design, Python, SQL, Spark

Preferred skills

• Python preferred

Experience

• Mid level