Senior Data Engineer, Valon Mortgage
$155-240k
+ Offers Equity
AI-native operating system for mortgage servicing
Job no longer available
AI-native operating system for mortgage servicing
501-1000 employees
Job no longer available
$155-240k
+ Offers Equity
501-1000 employees
Company mission
To power the future of homeownership with modern servicing technology.
Role
Who you are
- 5+ years of data engineering or systems engineering experience, ideally in startup or growth-stage environments (Series B–E)
- Proven experience designing and scaling data infrastructure — from ingestion and orchestration to modeling and observability
- Deep understanding of modern data stacks: Python, SQL, dbt, Airflow, and cloud-native environments (AWS/GCP/Azure)
- Strong grasp of data architecture patterns (e.g., medallion, lakehouse, modular data modeling)
- Experience implementing data quality frameworks, observability tools, or data contracts at scale
- A product mindset — you care about usability, reliability, and the developer experience of your data systems
- Bonus: Experience in fintech, logistics, or other regulated, data-heavy domains
What the job involves
- We’re looking for a Senior Data Engineer to build and own the data systems that power the next phase of Valon’s platform — the AI-native operating system for regulated finance
- This is a foundational, multi-year initiative to make ValonOS structured, inspectable, and programmable — the bedrock that enables AI to operate safely and effectively in real-world financial systems
- You’ll architect the pipelines, orchestration, and frameworks that transform Valon’s data infrastructure into a product: reliable, observable, and built for scale
- This role goes far beyond traditional “data plumbing.” It’s about engineering data as a system, not a service — ensuring every team at Valon can move with precision and speed through a robust, scalable data foundation
- You’ll collaborate with data analysts, forward-deployed engineers, and product teams to design infrastructure that’s production-grade, auditable, and AI-ready
- You’ll think in systems and tradeoffs, design for scale and observability, and bring a product mindset to everything from orchestration to modeling frameworks
- Some example problems on the roadmap:
- Migrate dbt Cloud jobs to Airflow for reliability, flexibility, and cost optimization
- Stand up a medallion architecture for analytics and reporting
- Implement data contracts and observability frameworks (e.g., Great Expectations)
- Build self-serve data tooling that allows every team to access high-quality data safely and efficiently
- Lay the groundwork for 10x scaling of multi-tenant SaaS data operations
- This is a high-impact role for someone who thrives on complexity and wants to shape the data foundation that makes regulated AI possible
- Design, build, and evolve Valon’s core data infrastructure — orchestration, modeling frameworks, and data pipelines
- Partner with analytics, engineering, and product teams to define and implement data contracts and observability systems
- Develop fault-tolerant, auditable, and high-performance pipelines for both internal and client-facing data applications
- Migrate and modernize existing systems (e.g., dbt Cloud → Airflow) to support scale and cost efficiency
- Implement the medallion architecture to structure analytics layers and ensure reliability at scale
- Build and maintain self-serve data access tools to empower internal teams
- Own technical strategy and execution for Valon’s data foundation — balancing near-term performance needs with long-term scalability
- Advocate for best practices in data modeling, reliability, observability, and developer experience across the company
Our take
The mortgage servicing market is huge but surprisingly outdated. In the US alone, it covers roughly $13T in mortgages, yet many servicers still use legacy systems and manual processes to manage payments, compliance and customer support. Because mortgage servicing involves complex regulations and many exceptions, these older systems can be inefficient and costly to run, creating a strong opportunity for modern technology to improve how the industry operates.
Valon is trying to modernize this space with ValonOS, an AI-native operating system built specifically for mortgage servicing. The platform doesn't just store loan data, it also captures the rules and workflows behind servicing decisions. This allows companies to automate routine processes, improve visibility into operations, and manage compliance more easily. To prove the system works, Valon has also built and run its own large mortgage servicing business on the platform.
The company has gained strong backing from major industry players too. Investor Rithm Capital Corp. plans to roll out Valon's technology to over 4M homeowners through Newrez, one of the largest US mortgage servicers. If this rollout succeed, it could demonstrate that modern, AI-driven systems can operate at industry scale and potentially reshape mortgage servicing.
Freddie
Company Specialist at Welcome to the Jungle
Insights
21% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Oct 2024
$100m
SERIES C
Jul 2024
$69.8m
LATE VC
Total funding: $348.8m
Company benefits
- Compensation: You’ll receive a highly competitive compensation package with room to grow.
- Time Away: We offer a generous PTO program, sick time, and company holidays.
- Flexible Work: Remote, hybrid, or in-office. We’ve got it all and aim for you to work where it works. Where possible, we offer geographic flexibility.
- Health Benefits: Health, dental, and vision insurance are all company-sponsored to keep you healthy and strong.
- Parental Leave: Birthing and non-birthing parents receive 12 weeks of fully paid time to welcome a new child.
Company HQ
Union Square, New York, NY
Leadership
Andrew Wang
(Co-Founder & CEO)Andrew studied Computer Science at Harvard before interning as a Software Engineer at The White House and Google. He was also an Analyst at Goldman Sachs and spent 4 years as a Principal to Soros Fund Management.
Linda Du
(COO)Linda studied Computer Science and Statistics at Harvard. She then worked at Samlyn Capital and Two Sigma prior to co-founding Valon in 2020.
Jake Mintz
(CPO)Prior to joining Valon in 2024, Jake was the Head of Product, Consumer at Stipe. He also spent 7 years at Google as a Product Lead, Camera (Android/Google Pixel, Head of Product, VR/AR (Media, Communications) and as the Head of Product, Business Management.
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