Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Data Engineer - Senior - USA
USA - Remote
Live, first seen by us 17 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
Remote — work setting source
Listed location: USA - Remote
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign, build and maintain cloud-native data pipelines and data lakes in Snowflake
Develop scalable ETL/ELT workflows for structured and unstructured data
Run data reconciliation, validation and financial data integrity checks
Support migration from legacy systems, including data mapping and transformation logic
Help plan project work, break it into Jira epics and stories, and coordinate go-live
From the employer’s posting
Design, build, and maintain cloud-native data pipelines and datalake architectures (Snowflake)
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
Breaking down work into Epics/User Stories (Jira)
About Quantiphi
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.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 18, 202617 days ago
- Recorded sightings
- 22
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Oct 16, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 17
Similar jobs usually come down between day 5 and day 54.
From 10,704 similar postings that came down. Coming down is not always a hire.
Quantiphi is hiring
30 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is steady
- Takes jobs down at a usual pace
- 3% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Snowflake
- pandas
- Polars
- GCP
Where the posting names them
- 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:
- 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,
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.
- 3x NVIDIA Partner of the Year titles. - 2x Snowflake Partner of the Year awards. - Top analyst recognitions from Gartner, ISG, and Everest Group.
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
Our industry recognition includes: - 21x Google Cloud Partner of the Year awards in the last 8 years. - 3x AWS AI/ML award wins.
Your next step
Complete your application on quantiphi.wd1.myworkdayjobs.com. The employer’s form will show what is required.
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- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Has Quantiphi posted this job before?
Yes. We’ve followed one other Data Engineer - Senior - USA job there since October 2026. It is still up.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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!
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
USA - Remote
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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