Senior Quantitative Data Engineer
Python
Senior
Big Data
Bigdata
Business Intelligence
Cloud Platform
Data
Data Architecture
Data Engineer
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Viz
Data Warehouse
Data Warehousing
Database
Dataviz
ETL
Information Technology (IT)
Integration
Pandas
Quantitative Finance
Snowflake
Spark
SQL
Tableau
Job Description
Intone Networks is seeking a Senior Quantitative Data Engineer for a remote contract role. The position centers on building Python-first data pipelines and Snowflake data models to support structured finance across multiple loan types, from whole loans to asset-backed securities and specialized instruments. This role blends hands-on data engineering with domain knowledge to enable scalable analytics and an AI-enabled dashboard layer that replaces legacy workflows.
Responsibilities
- Own end-to-end Python-first data pipelines across 12 servicers — normalizing and reconciling loan-level data across whole loans, ABS, HELOCs, RVs, student loans, and esoterics.
- Build Snowflake data models.
- Lead LMS migration reconciliation.
- Develop automated data quality frameworks.
- Contribute to an AI-native dashboard layer replacing legacy Tableau workflows.
Requirements
- 7–10 years in financial services data platforms
- Structured finance domain knowledge (ABS, HELOCs, whole loans, etc.)
- Expert Python — Polars, Spark, Pandas
- Advanced Snowflake (modeling + optimization)
- High-volume reconciliation in production environments
Technologies
- Python
- Snowflake
- Polars
- Spark
- Pandas
- Azure Data Factory
- Plotly/Dash
- Tableau
Similar Jobs
