Senior Quantitative Data Engineer

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