Work Location: New York, USA
Experience Level: 8+ years
Type: Full time
Role:We are seeking a
Senior Data Engineer with deep domain expertise in structured credit, mortgage whole loans, and financial analytics to drive the evolution of our modern data platform. In this high-impact role, you will design, construct, and maintain cloud-native data pipelines and data lake architectures in Snowflake to support Asset-Based Finance (ABF) investment and portfolio analytics.
Beyond core engineering, you will act as a key driver for platform modernization-translating quantitative financial logic into scalable ETL/ELT architecture, managing legacy system migrations, and bridging the gap between engineering, quantitative analytics, and project execution.
Responsibilities:- Design, build, and maintain cloud-native data pipelines and datalake architectures (Snowflake) 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 and reporting use cases, including data reconciliation, validation, and financial data integrity checks
- Support the migration from legacy systems to a modern data platform, including data mapping, transformation logic, and architecture alignment
- Contribute to light project management activities, including:
- Breaking down work into Epics/User Stories (Jira)
- Supporting project planning, timelines, and coordination across teams
- Assisting with testing, cutover planning, and go-live readiness
Skills Required:- Demonstrated experience in data engineering, including building, maintaining, and optimizing data pipelines and workflow
- Industry expertise in Mortgage Whole Loan and RMBS experience preferred
- Quantitative finance - cashflow models, predictive models, backtesting and calibration. Structured credit preferred, credit risk and fixed income fundamentals helpful.
- Good communication skills and change management abilities - align stakeholders and ensure operational readiness of new platform
- Product/Program Management - experience leading a full lifecycle project including driving requirements, design, build, testing, cutover planning, and go- live execution
- 5+ years of advanced SQL experience with common table expressions (CTEs), complex window functions, conditional logic, joins, aggregations etc.
- Data cleaning/de-duplication/reconciliation etc,
- 5+ years of professional python development to process complex dataset efficiently, process automations using Polars, Pandas or equivalent.
What is in it for you:- Be part of the fastest-growing AI-first digital transformation and engineering company in the world
- Be a part of an energetic team of highly dynamic and talented individuals
- Exposure to working with fortune 500 companies and innovative market disruptors
- Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
