Software Engineer II

Mastercard Inc.; Arlington (VA); Hybride; USD 106 000 - 169 000; Plein temps

Avantages offerts par ce poste

Health insurance

401(k) company match

Paid time off

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Python

SQL

Linux

Spark

Hive

Impala

Databricks

AWS

Agile

Communication

Ownership

Formation

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

Outils

Hadoop ecosystem

Databricks

Spark

Hive

Impala

AWS

Description du poste

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

Software Engineer II

Overview

The Mastercard Economic Intelligence team is seeking a Software Engineer II to help design and build data driven analytical solutions that power economic insights for our customers. In this role, you will develop scalable data systems, build and optimize data pipelines, and contribute to machine learning and analytics capabilities that support business and client decision-making.

Our team transforms billions of global transaction data points into actionable insights, enabling understanding of historical consumer spending, forecasting future trends, and providing commentary on current economic conditions. These insights support clients across financial services, retail, and government sectors.

We are looking for an engineer with strong technical depth who can help design, build, and scale our data platforms, including our in‑house 800+ node Hadoop ecosystem and our expanding cloud footprint on Databricks. You will collaborate closely with data scientists, data engineers, and data warehouse teams to deliver reliable, scalable, and high‑performance data pipelines and data products. The team is distributed across Virginia, New York, the Czech Republic, and India.

This is a hybrid role based in Arlington, VA, with an expectation of three days per week onsite.

Role

• 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.

All About You

• Previous experience in software engineering, data engineering, or related field.
• 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.
• Bachelor’s degree in Computer Science, Information Systems, Information Technology, or equivalent practical experience.

Eligibility

This role is not eligible for Mastercard’s work authorization sponsorship. As such, candidates must be eligible to work in the United States now or in the future without employer sponsorship.

Equal Opportunity

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 [e-mail] 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

• 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.

Compensation

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
• On‑site fitness facilities in some locations

THIS POSTING RELECTS ONE OR MORE CURRENT VACANCIES ON OUR TEAM, AND MASTERCARD INTENDS TO FILL THIS POSITION BY 01/17/2027. If the fill date has passed, Mastercard intends to fill this position as soon as possible.

Pay Ranges

Arlington, Virginia: $106,000 - $169,000 USD