Senior Software Engineer
About The Position
Mastercard’s Economic Intelligence team is seeking a Senior Software Engineer to design, build, and operate scalable data systems that power economic intelligence products. This hands-on engineering role focuses on delivering complex platform capabilities, modernizing data workloads from on-premises Hadoop technologies to Databricks and cloud-based services, and strengthening engineering practices across the team. The team transforms global transaction records into insights that help customers understand consumer spending, evaluate economic conditions, and make business decisions. The engineer will collaborate with software engineers, data engineers, data scientists, product managers, and data warehouse teams across multiple locations. The role is hybrid and based in Arlington, Virginia, with three days per week onsite. The position is not eligible for Mastercard work authorization sponsorship; candidates must be eligible to work in the United States now or in the future without employer sponsorship.
Requirements
- Experience modernizing workloads from Hadoop-based environments to cloud or Databricks platforms.
- Experience with Hive, Impala, workflow orchestration, data Lakehouse patterns, or cloud object storage.
- Advanced SQL expertise, including query optimization and modeling for very large datasets.
- Knowledge of data governance, privacy, security, data lineage, and access-control practices.
- Experience supporting analytical, economic, financial, or other data-intensive products.
- Experience applying machine learning, generative AI, or agent-based capabilities within production systems.
- Experience mentoring engineers and influencing architecture or engineering standards across teams.
- Excellent verbal and written communication skills, including the ability to explain complex technical concepts to diverse audiences.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related STEM discipline, or equivalent practical experience.
- Must be eligible to work in the United States now or in the future without employer sponsorship.
Responsibilities
- Design, develop, test, and operate scalable data-processing solutions using Python, SQL, Spark, Hive, Impala, Databricks, and related technologies.
- Own complex data platform capabilities from ingestion and transformation through publishing and consumption.
- Provide technical leadership in modernizing on-premises data workloads to Databricks and cloud-based platforms.
- Make and document architecture and design decisions that improve scalability, reliability, maintainability, security, and cost efficiency.
- Build production-ready pipelines with appropriate testing, data-quality controls, observability, operational documentation, and recovery procedures.
- Diagnose and resolve complex performance, reliability, and data-quality issues across distributed systems.
- Contribute directly to implementation and guide technical execution through design reviews, code reviews, and collaborative problem-solving.
- Reduce technical debt while balancing near-term product delivery with long-term platform sustainability.
- Partner with product managers and data scientists to translate business and analytical requirements into durable technical solutions.
- Mentor engineers, share technical knowledge, and strengthen engineering practices across geographically distributed teams.
- Evaluate tools and approaches based on measurable improvements to delivery speed, platform reliability, developer productivity, or analytical capability.
- Participate in production support and continuous improvement of team-owned systems.
- Abide by Mastercard security policies and practices, protect the confidentiality and integrity of accessed information, report suspected security violations or breaches, and complete mandatory security training.
Benefits
- Medical, prescription drug, dental, vision, disability, and 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, prorated based on date of hire.
- 10 annual paid U.S. observed holidays.
- 401(k) with company match.
- Deferred compensation for eligible roles.
- Fitness reimbursement or onsite fitness facilities.
- Eligibility for tuition reimbursement.
- Annual bonus or commissions may be available depending on the role.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
