Senior Data Engineer

About the Company

Valon is transforming both mortgage servicing and consumer direct lending with a technology-first approach. Backed by Andreessen Horowitz (a16z) and managing over $130 billion in loans, we’ve built our platforms from the ground up—not on outdated legacy systems—so homeowners, lenders, and investors experience greater transparency, efficiency, and care. By unifying processes into a modern, AI-native operating system, we’re leading the way in automation, compliance, and continuous improvement across our servicing and lending businesses.

Our mission is to empower every homeowner by making the mortgage experience simple, secure, and financially empowering. To achieve this, we bring together world-class engineers, servicing experts, lending professionals, and operations leaders who share a passion for improving the homeowner journey. We’re not only reshaping what servicing and lending look like today—we’re creating opportunities for talented people to help drive the future of the industry.

As we continue to grow, Valon is expanding its footprint across multiple states, opening the door to exciting new roles and career paths. Joining Valon means becoming part of a fast-scaling company where innovation, collaboration, and customer impact go hand in hand. Mortgage is just the beginning—we’re building the future of regulated finance, and we want you to be part of it.

About the Role

We are looking for a Senior Data Engineer to own all facets of data infrastructure at Valon. You will be responsible for managing/optimizing our core data infrastructure, building/maintaining custom data ingestion pipelines, optimizing/implementing complex data transformations, and partnering with the analytics team to architect the optimal long-term infra strategy for Valon. You will be the data team’s infrastructure quarterback, and success will mean standing up the proper tooling or processes and flexibly problem-solving to ensure the team is able to carry out its mission efficiently and seamlessly.

Responsibilities

Core Data Infrastructure & Scalability

• Own and optimize Valon’s core data infrastructure for performance, reliability, and cost efficiency as data volume and complexity grow.

• Design and extend multi-tenant data architectures to support a scalable SaaS model.

• Evaluate and improve warehouse design, data models, and schema strategies to minimize redundancy and maximize query performance.

• Lead and execute infrastructure migrations with minimal downtime and high data integrity.

• Build and maintain custom ingestion pipelines for data sources not covered by ELT vendors.

Observability, Performance & Maintenance

• Build or integrate observability tooling for pipeline health, latency, data freshness, drift detection, and schema change monitoring.

• Optimize data transformation jobs for speed and cost efficiency, identifying performance bottlenecks and refactoring as needed.

• Establish and run routine maintenance processes to ensure data quality, stability, and platform consistency.

• Drive a culture of data reliability engineering by codifying best practices, automation, and operational excellence.

Strategic Leadership & Enablement

• Define and communicate the long-term data infrastructure roadmap, aligning technical evolution with Valon’s business growth.

  • Think strategically: What does our infrastructure need to look like at 10x or 100x scale?

• Partner closely with the analytics team to enable faster insights through better tooling, performance, and documentation.

• Act as a force multiplier for the broader data team - mentoring on best practices and improving development velocity across pipelines and models.

Cross-Functional Execution

• Collaborate with platform and product teams to design systems that meet business, operational, and regulatory re