Data Engineer

Quantiphi; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

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.

Responsibilities

• 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.

Skills

Data engineering

Advanced SQL

Python

ETL/ELT workflows

Snowflake

Stakeholder management

Mortgage RMBS

Financial analytics

Tools

Polars

Pandas

Snowflake

Jira

Job description

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations.

Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake.

Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc.

As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.

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.
• 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