Data Engineer II
Core
Build, operate, and maintain reliable, scalable data pipelines and data products that power analytics, reporting, and downstream data consumers for Mastercard.
Role type
Mid-level hands-on data engineer
Builds
End-to-end batch and streaming data pipelines, curated datasets, and analytics-ready data models
Domain
Financial services / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Complex SQL, Python/Scala/Java, big data ecosystems, data quality controls, CI/CD, cloud technology, MSBI stack (SSIS, SSAS, SSRS), MS Power BI
Preferred skills
AI-driven data pipeline testing, automated data quality checks, code generation, documentation automation
Technologies
Python, Scala, Java, SQL, SSIS, SSAS, SSRS, Power BI, Cloud platforms
Responsibilities
Engineer end-to-end data pipelines (batch/streaming), develop data transformations and models, implement data quality and observability, support production operations and incident response, collaborate with stakeholders to translate requirements into pipelines
Seniority
Mid-level (2-5 years experience), hands-on IC