Description
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 is a hands-on engineering role focused 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 Economic Intelligence team develops data products and analytical capabilities that help customers understand consumer spending, evaluate economic conditions, and make informed business decisions.
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 for the modernization of 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 while guiding technical execution through design reviews, code reviews, and collaborative problem-solving.
- Reduce technical debt by balancing near-term product delivery with long-term platform sustainability.
- Partner with product managers and data scientists to translate business and analytical requirements into clear, durable technical solutions.
- Mentor engineers, share technical knowledge, and help strengthen engineering practices across geographically distributed teams.
- Evaluate new 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 the systems owned by the team.
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, capable of explaining complex technical concepts to diverse audiences.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related STEM discipline, or equivalent practical experience.
Benefits:
- 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
- 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