Our industry recognition includes
21x Google Cloud Partner of the Year awards in the last 8 years.
3x AWS AI/ML award wins.
3x NVIDIA Partner of the Year titles.
2x Snowflake Partner of the Year awards.
Top analyst recognitions from Gartner, ISG, and Everest Group.
Consecutive certifications as a Great Place to Work.
Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation.
Your next big opportunity starts here!
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!
