Data Engineer - Senior - USA
About the role
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: USA - Remote
Experience Level
Type
Role
Senior Data Engineer
Snowflake
Dagster
AWS
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
8+ years
of progressive experience in data engineering, data platform development, or enterprise analytics.
- Proven track record building enterprise data models and warehouse architectures within financial services, investment management, or ABF/portfolio analytics domain contexts.
•
Data Warehousing
Snowflake
Orchestration
Dagster
Cloud Infrastructure
AWS
Data Pipelines & Languages
Python
SQL
Tooling & PM
Jira
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
Who can apply
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