Senior Data Engineer — Snowflake, Cloud-Native Data Lakes

Quantiphi; New York (NY); Sur place; USD 150 000 - 210 000; Plein temps

Résumé du poste

Quantiphi is seeking a Senior Data Engineer in New York to design, build, and maintain cloud-native data pipelines and data lake architectures (Snowflake) for Asset-Based Finance analytics. You will translate financial logic into scalable ETL/ELT solutions and drive platform modernization.

Ideal candidates have 5+ years of advanced SQL and Python development, with domain knowledge in Mortgage Whole Loan/RMBS and strong data governance skills.

Qualifications

• Experience building, maintaining, and optimizing data pipelines and datalake architectures.
• 5+ years of advanced SQL experience with complex queries and data modeling.
• 5+ years of professional Python development for data processing.
• Domain expertise in Mortgage Whole Loan and RMBS is preferred.

Responsabilités

• Design, build, and maintain cloud-native data pipelines and datalake architectures (Snowflake) for ABF analytics.
• Develop and manage scalable ETL/ELT workflows ingesting data from structured and unstructured sources.
• Support analytics, reconciliation, and data integrity checks.
• Assist with legacy system migrations and platform modernization.
• Break down work into Epics/User Stories, support planning and coordination across teams.

Connaissances

Data engineering

Advanced SQL

Python

ETL/ELT workflows

Snowflake

Stakeholder management

Mortgage RMBS

Financial analytics

Outils

Polars

Pandas

Snowflake

Jira

Description du poste

Quantiphi is seeking a Senior Data Engineer in New York to design, build, and maintain cloud-native data pipelines and data lake architectures (Snowflake) for Asset-Based Finance analytics. You will translate financial logic into scalable ETL/ELT solutions and drive platform modernization.

Ideal candidates have 5+ years of advanced SQL and Python development, with domain knowledge in Mortgage Whole Loan/RMBS and strong data governance skills.