Staff Data Engineering Technical Lead
Posted Updated
Summary
Staff-level data engineering lead at Capital One's Toronto team: owns technical design for fault-tolerant, multi-platform enterprise applications, applying data modeling and architecture expertise in Python on AWS, while supporting machine learning and conversational AI initiatives in a regulated financial-services environment.
Lead data engineering with Python and AWS as a Staff Engineer in Toronto, Ontario, owning technical design for enterprise applications.
Capital One seeks a Staff Engineer focused on data engineering and application development. You will guide cross-functional, multi-platform, fault-tolerant application systems while applying data design, modelling, and architecture expertise. The description emphasizes cloud experience and financial-services governance.
Key Responsibilities:
Own technical design for cross-functional application systems Lead development of multi-platform, fault-tolerant applications Apply data design, modelling, and architecture practices Support machine learning and conversational AI initiatives Requirements:
At least six years of hands-on development experience Python, Java, Go, or object-oriented programming experience At least six years in application development or data architecture AWS experience, or Microsoft Azure or Google Cloud experience Financial-services data privacy and regulatory compliance experience Bring technical leadership, Python development, cloud experience, and data architecture expertise to Capital One's Toronto engineering team.
Own technical design for cross-functional application systems Lead development of multi-platform, fault-tolerant applications Apply data design, modelling, and architecture practices Support machine learning and conversational AI initiatives Requirements:
At least six years of hands-on development experience Python, Java, Go, or object-oriented programming experience At least six years in application development or data architecture AWS experience, or Microsoft Azure or Google Cloud experience Financial-services data privacy and regulatory compliance experience Bring technical leadership, Python development, cloud experience, and data architecture expertise to Capital One's Toronto engineering team.