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Senior Quantitative Data Engineer Contract (Remote - USA) Python · Snowflake · Polars · Spark · Pandas · Azure Data Factory · Plotly/Dash A structured finance client needs a Senior Quant data engineer who understands both the pipelines and the instruments. You'll 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. You'll build Snowflake data models, lead LMS migration reconciliation, develop automated data quality frameworks, and contribute to an AI-native dashboard layer replacing legacy Tableau workflows. ✅ 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 Bonus: Snowflake SnowPro, Azure Data Engineer, CFA/FRM