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Role
About the Role
Valon is transforming mortgage servicing and consumer direct lending with a technology-first approach. We are looking for a Senior Data Engineer to own all facets of data infrastructure, managing core systems, building custom ingestion pipelines, and architecting long-term strategy.
Responsibilities- Own and optimize core data infrastructure for performance, reliability, and cost efficiency as data volume grows.
- Design and extend multi-tenant data architectures to support a scalable SaaS model.
- Build or integrate observability tooling for pipeline health, latency, data freshness, and drift detection.
- Optimize data transformation jobs and refactor performance bottlenecks.
- Define the long-term data infrastructure roadmap and mentor the broader data team on best practices.
- Collaborate cross-functionally with platform and product teams to meet regulatory and operational requirements.
- 4+ years of data engineering experience, with at least 2 years in an early- to mid-stage startup.
- Deep knowledge and experience deploying and optimizing dbt or comparable tooling.
- Experience managing data warehouses, data marts, and data lakes (BigQuery/GCP preferred).
- Mastery of SQL and fluency in Python or similar scripting languages.
- Experience with EL connector solutions like Fivetran or Stitch and BI tools like Looker.
- Strong prioritization skills and the ability to reason about root causes across the data stack.
- Competitive salary and 401(k) plan.
- Comprehensive medical, dental, and vision insurance.
- 17 days paid time off, 11 company holidays, and sick days.
- 12 weeks of fully paid parental leave for both birthing and non-birthing parents.
- Learning and development opportunities with regular feedback cycles.
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Skills
Required Skills
Data Infrastructure
dbt
SQL
Python
BigQuery
GCP
Data Warehousing
Data Modeling
ELT
Fivetran
Stitch
Looker
Data Observability
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