Join a fast‑growing engineering team shaping Mastercard’s Analytic Foundation, delivering predictive‑as‑a‑service APIs for global customers. You’ll work in small, flexible squads that own end‑to‑end feature development.
What You’ll Do
- Scope, design, and implement complex full‑stack features.
- Design intuitive, responsive UIs for issuer data and analytics.
- Build and maintain scalable analytics and data models.
- Write and review high‑quality, well‑tested code.
- Mentor junior engineers and champion best practices.
- Partner with product managers to translate user needs into new features.
What You Need
- 7+ years of full‑stack engineering in an agile environment.
- Proficiency in Python or Scala, Spark, Hadoop ecosystem and SQL.
- Experience building production‑level data pipelines and ML systems at scale.
- Strong Java/Spring Boot, .NET/C#, React, Redux, and TypeScript skills.
- Track record of leading large, complex feature implementations.
- Ability to coach and mentor junior team members.
Good to Have
- Passion for analytical and quantitative problem solving.
- Customer‑centric development mindset.
- Experience improving development processes across geographies.
The Opportunity
You’ll be part of Mastercard’s Data & Services arm, delivering API‑driven analytics that power portfolio optimization and ad‑insight solutions for some of the world’s largest organizations.