Data Engineer I

Vālenz Health® is the destination for employers, brokers, payers, and providers to reduce costs, improve quality, and elevate the healthcare experience. Through advanced technology and clinical expertise, Valenz creates a distinctly different approach to a complex healthcare system.

With our solutions, we execute across the entire healthcare journey — from member experience to payment integrity, provider quality, and plan performance.

With one of America’s largest cost, quality and utilization datasets, we create greater transparency, flexibility, and cost containment — empowering members and employers with the information they need to make smarter, more cost-effective decisions.

About This Opportunity: As a Data Engineer I, you’ll help develop and maintain scalable data pipelines and solutions within our modern, cloud-based data platform.

You’ll transform, validate, and integrate healthcare data from multiple sources to ensure accurate, reliable, and accessible data for analytics, reporting, and broader business needs.

You’ll also partner with Analytics and other cross-functional teams to translate data requirements into effective solutions while supporting the continued growth and evolution of our cloud-based lakehouse architecture.

Things You’ll Do Here: Develop, maintain, and enhance data pipelines that ingest, transform, validate, and integrate data from multiple internal and external sources. Support the migration of on-premise SQL Server data systems to a cloud-based lakehouse architecture using Azure Databricks and Delta Lake.

Develop and maintain ETL/ELT processes using SQL, Python, PySpark, and Spark SQL. Apply established lakehouse and Delta Lake architecture standards, including schema enforcement, data quality controls, ACID transactions, and data versioning.

Build and maintain data models that support analytics, reporting, and data warehousing needs. Implement data quality checks, validation processes, and monitoring to ensure the accuracy, completenes