Note: The job is a remote job and is open to candidates in USA. Quantiphi is an AI-first digital engineering and consulting company delivering intelligent, scalable, and transformative AI services and solutions. The Senior Data Engineer will lead the architecture, transformation, and modernization of investment and portfolio analytics data, designing Snowflake-based pipelines, supporting legacy migrations, ensuring financial data integrity, and coordinating end-to-end delivery.
Responsibilities
- Design, build, and maintain cloud-native data pipelines and data lake architectures in Snowflake to support ABF investment and portfolio analytics
- Develop and manage scalable, automated ETL/ELT workflows to efficiently ingest, transform, and curate data from diverse structured and unstructured sources
- Support the end-to-end migration from legacy systems to a modern data platform, including complex data mapping, transformation logic development, and architecture alignment
- Support advanced analytics and reporting use cases by implementing data cleaning, de-duplication, reconciliation, validation, and strict financial data integrity checks
- Break down high-level business requirements into actionable Epics and User Stories within Jira
- Support project planning, timeline estimation, risk mitigation, and cross-functional team coordination
- Assist with integration testing, cutover planning, and go-live readiness to ensure smooth deployment
- Partner closely with business, finance, and operations teams to align stakeholders and ensure seamless operational adoption of the new platform
Skills
- 5+ years of expert-level SQL experience (writing complex queries, CTEs, advanced window functions, conditional logic, complex joins, and performance optimization)
- 5+ years of professional Python development experience processing complex datasets efficiently and automating workflows using Pandas, Polars, or equivalent data libraries
- Hands-on experience designing and optimizing cloud-native data warehouses/datalakes, specifically Snowflake
- Modern Data Pipelines: Proven experience building, maintaining, and optimizing scalable ETL/ELT workflows and data pipelines
- Specialized experience in Asset-Based Finance (ABF) and mortgage servicing (e.g., settlements, remittances, cash consolidation, and servicing workflows)
- Demonstrated success managing full lifecycle project delivery, driving requirements from design and build to testing and deployment
- Exceptional communication and change management skills, with a track record of bridging the gap between technical teams and business leadership
Benefits
- 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
Company Overview
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