Quantiphi
Data Engineer - Senior - USA
USA - Remote · Senior · Full-time
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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!
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
- Demonstrated experience in data engineering, including building, maintaining, and optimizing data pipelines and workflow
- Product/Program Management - experience leading a full lifecycle project including driving requirements, design, build, testing, cutover planning, and go- live execution
- 21x Google Cloud Partner of the Year awards in the last 8 years.
- 3x NVIDIA Partner of the Year titles.
- 2x Snowflake Partner of the Year awards.
Requirements
- Skills Required:
- 5+ years of advanced SQL experience with common table expressions (CTEs), complex window functions, conditional logic, joins, aggregations etc.
Nice to have
- Quantitative finance - cashflow models, predictive models, backtesting and calibration.
- Structured credit preferred, credit risk and fixed income fundamentals helpful.
Skills
- Industry expertise in Mortgage Whole Loan and RMBS experience preferred
- Good communication skills and change management abilities - align stakeholders and ensure operational readiness of new platform
- Data cleaning/de-duplication/reconciliation etc,
- 5+ years of professional python development to process complex dataset efficiently, process automations using Polars, Pandas or equivalent.
- 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
Company info
- Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation.
- 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
This listing is sourced directly from Quantiphi's careers page and normalized into a canonical job model.