Senior Data Engineer

Quantiphi; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Quantiphi is seeking an experienced Senior Data Engineer to lead architecture and modernization of investment analytics, with focus on Asset-Based Finance (ABF) and mortgage servicing. You will design robust cloud-native data pipelines in Snowflake, drive migrations, and ensure data integrity across reporting systems.

The role requires strong SQL and Python skills, experience with ABF/mortgage workflows, and hands-on data engineering leadership across end-to-end delivery.

Qualifications

• 5+ years of expert-level SQL experience with complex queries and optimization.
• 5+ years of professional Python development processing complex datasets and automating workflows.
• Hands-on experience designing and optimizing cloud-native data warehouses/datalakes, specifically Snowflake.

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 ETL/ELT workflows to ingest, transform, and curate data from diverse sources.
• Support end-to-end migration from legacy systems to a modern data platform, including data mapping and transformation logic development.
• Ensure data integrity, reconciliation, and validation across reporting systems.

Skills

SQL

Python

Snowflake

ETL/ELT

Pandas/Polars

ABF

Mortgage servicing

Job description

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!

Experience Level:6+ years

Type: Full time

Role:

We are seeking an experienced Senior Data Engineer with deep expertise in Asset-Based Finance (ABF) and mortgage servicing to lead the architecture, transformation, and modernization of our investment and portfolio analytics requirements.

In this role, you will design and maintain robust, cloud-native data pipelines in Snowflake, drive legacy-to-modern data platform migrations, and ensure financial data integrity across all reporting systems. Beyond core data engineering, you will play a hands-on role in end-to-end delivery—translating business requirements into Agile execution, managing project timelines, and driving technical operational readiness.

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 Required:

• 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.

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