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 offers a remote contract opportunity for a Senior Quantitative Data Engineer. The role centers on designing and operating Python-first data pipelines and Snowflake data models that support structured finance analytics across multiple loan types. You will collaborate across 12 servicers to normalize and reconcile loan-level data spanning whole loans, asset-backed securities (ABS), HELOCs, RVs, student loans, and other esoterics. This position emphasizes scalable data architectures, automated data quality, and an AI-enabled analytics trajectory, including a dashboard layer to replace legacy Tableau 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 to support structured finance analytics.
- 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
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