Senior Data Engineer for ABF & Mortgage Analytics

Quantiphi; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Quantiphi is seeking an experienced Senior Data Engineer to lead architecture and modernization of investment analytics, with focus on Asset-Based Finance (ABF) and mortgage servicing. You will design robust cloud-native data pipelines in Snowflake, drive migrations, and ensure data integrity across reporting systems.

The role requires strong SQL and Python skills, experience with ABF/mortgage workflows, and hands-on data engineering leadership across end-to-end delivery.

Qualifications

• 5+ years of expert-level SQL experience with complex queries and optimization.
• 5+ years of professional Python development processing complex datasets and automating workflows.
• Hands-on experience designing and optimizing cloud-native data warehouses/datalakes, specifically Snowflake.

Responsibilities

• Design, build, and maintain cloud-native data pipelines and data lake architectures in Snowflake to support ABF investment and portfolio analytics.
• Develop and manage scalable ETL/ELT workflows to ingest, transform, and curate data from diverse sources.
• Support end-to-end migration from legacy systems to a modern data platform, including data mapping and transformation logic development.
• Ensure data integrity, reconciliation, and validation across reporting systems.

Skills

SQL

Python

Snowflake

ETL/ELT

Pandas/Polars

ABF

Mortgage servicing

Job description

Quantiphi is seeking an experienced Senior Data Engineer to lead architecture and modernization of investment analytics, with focus on Asset-Based Finance (ABF) and mortgage servicing. You will design robust cloud-native data pipelines in Snowflake, drive migrations, and ensure data integrity across reporting systems.

The role requires strong SQL and Python skills, experience with ABF/mortgage workflows, and hands-on data engineering leadership across end-to-end delivery.