remote
Senior Quantitative Data Engineer - Intone Networks
Data Engineer
Lead end‑to‑end Python‑first data pipelines for structured finance, normalizing loan‑level data across diverse servicers, building Snowflake models, automating data quality, and delivering AI‑native dashboards with Plotly/Dash.
About the role
Key Responsibilities
- Design, develop, and maintain Python‑centric data pipelines for 12 servicers, normalizing and reconciling loan‑level data across whole loans, ABS, HELOCs, RVs, student loans, and esoterics.
- Build and optimize Snowflake data models, ensuring high performance and scalability for structured finance workloads.
- Lead LMS migration reconciliation, coordinating with stakeholders to validate data integrity during platform transitions.
- Develop automated data quality frameworks, implementing monitoring, alerts, and remediation workflows.
- Create AI‑native dashboards using Plotly/Dash to replace legacy Tableau visualizations, delivering actionable insights to business users.
Requirements
- 7–10 years of experience in financial services data platforms, with deep knowledge of structured finance instruments.
- Proficiency in Python, Snowflake, Polars, Spark, and Pandas for large‑scale data processing.
- Hands‑on experience with Azure Data Factory and cloud‑based data orchestration.
- Strong analytical skills, ability to translate complex financial data into clear, actionable insights.
- Excellent communication and collaboration skills, comfortable working in a remote, cross‑functional team.
Skills
pythonsnowflakepandas