Data Engineer - Senior - USA

Quantiphi

7d

About The Position

Quantiphi is seeking a Senior Data Engineer with expertise in structured credit, mortgage whole loans, and financial analytics to help evolve its modern data platform. The role designs, builds, and maintains cloud-native data pipelines and Snowflake data lake architectures supporting Asset-Based Finance (ABF) investment and portfolio analytics. It also translates quantitative financial logic into scalable ETL/ELT architecture, supports migrations from legacy systems, and connects engineering, quantitative analytics, and project execution.

Requirements

• Demonstrated data engineering experience building, maintaining, and optimizing data pipelines and workflows.
• Quantitative finance knowledge, including cashflow models, predictive models, backtesting, and calibration.
• Strong communication and change management abilities to align stakeholders and ensure operational readiness of the new platform.
• Experience leading a full-lifecycle project, including requirements, design, build, testing, cutover planning, and go-live execution.
• At least 5 years of advanced SQL experience, including CTEs, complex window functions, conditional logic, joins, and aggregations.
• Experience with data cleaning, de-duplication, and reconciliation.
• At least 5 years of professional Python development to process complex datasets efficiently and automate processing using Polars, Pandas, or equivalent.

Nice To Haves

• Mortgage Whole Loan and RMBS experience preferred.
• Structured credit experience preferred.
• Credit risk and fixed income fundamentals are helpful.

Responsibilities

• Design, build, and maintain cloud-native data pipelines and Snowflake data lake architectures for ABF investment and portfolio analytics.
• Develop and manage scalable ETL/ELT workflows to ingest, transform, and curate structured and unstructured data.
• Support analytics and reporting, including data reconciliation, validation, and financial data integrity checks.
• Support migration from legacy systems to a modern data platform, including data mapping, transformation logic, and architecture alignment.
• Break project work into Epics and User Stories in Jira.
• Support project planning, timelines, and coordination across teams.
• Assist with testing, cutover planning, and go-live readiness.
• Drive full-lifecycle project activities spanning requirements, design, build, testing, cutover planning, and go-live execution.

Benefits

• Exposure to working with Fortune 500 companies and innovative market disruptors.
• Exposure to the latest technologies in artificial intelligence and machine learning, data, and cloud.
• Opportunity to be part of an energetic team of dynamic and talented individuals.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed