Senior Data Engineer

🔥 40 minutes ago

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Quantiphi

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Series A on 2019-12

Consulting • Healthcare • Logistics

Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.

📋 Description

• Design, build, and maintain cloud-native data pipelines and data lake architectures in Snowflake for Asset-Based Finance investment and portfolio analytics • Develop and manage scalable ETL/ELT workflows to ingest, transform, and curate structured and unstructured data • Support analytics and reporting use cases, including data reconciliation, validation, and financial data integrity checks • Support migration from legacy systems to a modern data platform through data mapping, transformation logic, and architecture alignment • Break down 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 • Bridge engineering, quantitative analytics, and project execution while translating quantitative financial logic into scalable ETL/ELT architecture

🎯 Requirements

• 8+ years of experience • Demonstrated experience in data engineering, including building, maintaining, and optimizing data pipelines and workflows • Mortgage Whole Loan and RMBS industry experience preferred • Quantitative finance knowledge, including cashflow models, predictive models, backtesting, and calibration • Structured credit knowledge preferred; credit risk and fixed income fundamentals helpful • Good communication skills and change management abilities • Product/Program Management experience leading a full lifecycle project, including requirements, design, build, testing, cutover planning, and go-live execution • 5+ years of advanced SQL experience, including CTEs, complex window functions, conditional logic, joins, and aggregations • Experience with data cleaning, de-duplication, and reconciliation • 5+ years of professional Python development for processing complex datasets and automation using Polars, Pandas, or equivalent

🏖️ Benefits

• 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 • Opportunity to be part of an energetic team of highly dynamic and talented individuals • Opportunity to work at a fast-growing AI-first digital transformation and engineering company