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Job Description

The remote contract role at Intone Networks focuses on building Python-first data pipelines and Snowflake data models to support structured finance analytics across multiple loan categories.

Responsibilities

  • Manage end-to-end Python-first data pipelines across 12 loan servicers, normalizing and reconciling loan-level data for whole loans, ABS, HELOCs, RVs, student loans, and other esoteric loan types.
  • Design, implement, and optimize Snowflake data models to enable scalable analytics and reporting.
  • Lead reconciliation efforts during LMS migrations, ensuring data fidelity throughout the transition.
  • Develop automated data quality frameworks to monitor data in production and detect anomalies.
  • Contribute to an AI-native dashboard layer intended to replace legacy Tableau workflows.

Requirements

  • 7-10 years of experience designing and operating financial services data platforms.
  • Structured finance domain knowledge including ABS, HELOCs, whole loans, and related instruments.
  • Expert Python programming, with experience in Polars, Spark, and Pandas.
  • Advanced Snowflake capabilities, including data modeling, optimization, and performance tuning.
  • Experience with high-volume data reconciliation in production environments.

Technologies

  • Python
  • Snowflake
  • Polars
  • Spark
  • Pandas
  • Azure Data Factory
  • Plotly/Dash
  • Tableau

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