Data Engineer - Senior - USA

Quantiphi

USA - RemotePosted 2 days agoDiscoveredMatch locked

RemoteFull time5+ years exp

About the role

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi

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.

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 !

Not included in the source posting: benefits.

Skills

artificial-intelligencemachine-learningsnowflakegoawsetlgcppandaspythonsqlexceljira

Who can apply

The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.

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