Data Engineer, Vice President
Core
Design and own scalable data infrastructure and ETL pipelines to ingest, transform, and curate large historical datasets for financial analytics, pricing, risk, and portfolio use cases.
Role type
Senior Data Engineer (Financial Analytics)
Builds
Production-grade data platforms, curated datasets, and analytics infrastructure for internal users and external clients.
Domain
Financial services, quantitative analytics, data engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, ETL pipeline design, data curation, distributed frameworks, database internals, data modeling, AI-assisted coding tools
Preferred skills
Cloud platforms (AWS/Azure/GCP), DevOps practices
Technologies
Snowflake, Python, ETL tools, AI coding assistants
Responsibilities
Design scalable data infrastructure optimized for Snowflake; Build and maintain robust ETL pipelines for large datasets; Partner with modelers to translate requirements into data designs; Implement data quality, validation, and monitoring frameworks; Optimize workloads for performance, scalability, and cost; Adopt AI-assisted engineering tools to improve delivery speed and quality.
Seniority
Senior, hands-on IC
