Senior Data Engineer - Remote, AI-Driven Data Platform

Quantiphi; New York (NY); A distancia; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

Quantiphi is seeking a Senior Data Engineer to lead cloud-native data pipelines and Snowflake data lake architectures supporting Asset‑Based Finance analytics. You will translate financial logic into scalable ETL/ELT workflows, migrate legacy systems, and collaborate with engineering, analytics, and program teams.

The role requires 5+ years in data engineering, deep SQL and Python skills, and experience with mortgage whole loan/RMBS concepts.

Formación

• Demonstrated experience in data engineering, including building, maintaining, and optimizing data pipelines and workflow.
• Strong foundation in SQL with five+ years of complex queries, analysis, and data quality checks.
• Experience mapping business requirements to ETL/ELT solutions and cloud-based data lakes.

Responsabilidades

• Design, build, and maintain cloud-native data pipelines and data lake architectures to support ABF investment and portfolio analytics.
• Develop and manage scalable ETL/ELT workflows to ingest, transform, and curate data from structured and unstructured sources.
• Support analytics, data reconciliation, and data integrity checks across financial datasets.

Conocimientos

SQL

Python

Data pipelines

ETL/ELT

Cloud data platforms

Mortgage Whole Loan / RMBS

Financial analytics

Communication

Project management

Educación

Bachelor's degree in a related field

Herramientas

Snowflake

Polars

Pandas

Jira

Descripción del empleo

Quantiphi is seeking a Senior Data Engineer to lead cloud-native data pipelines and Snowflake data lake architectures supporting Asset‑Based Finance analytics. You will translate financial logic into scalable ETL/ELT workflows, migrate legacy systems, and collaborate with engineering, analytics, and program teams.

The role requires 5+ years in data engineering, deep SQL and Python skills, and experience with mortgage whole loan/RMBS concepts.