Software Engineer In Test
The Software Engineer in Test (SEIT) plays a key role in validating data-driven products that support population health, payer analytics, and value-based care initiatives. This individual will translate functional and non-functional requirements into reliable, maintainable test solutions across reports, dashboards, data extracts, and automated ETL workflows. The ideal candidate brings experience testing healthcare data platforms with a strong understanding of claims, quality, risk adjustment, utilization, and analytics used by payer and population health organizations.
Responsibilities:
- Support testing and quality validation of data and analytics products used across population health, payer, and value-based care environments.
- Design, develop, and maintain automated test frameworks for data pipelines, BI reporting, dashboards, and database-driven applications.
- Validate data movement and transformation processes across Snowflake, SQL, Azure Data Factory, SSIS, and related cloud/data warehouse technologies.
- Create and execute automated and manual test plans to verify data accuracy, integrity, completeness, and performance across claims, quality, risk, and utilization data sets.
- Partner with product, engineering, QA, and business stakeholders to define test scenarios and ensure solutions meet business and operational requirements.
- Review and test reports, dashboards, and data extracts used to support payer operations, care management, quality reporting, and performance measurement.
- Perform root-cause analysis and troubleshoot data quality issues across internal and external healthcare data sources.
- Contribute to release readiness by preparing test artifacts, validating release candidates, and supporting deployments across test and production environments.
- Ensure data validation processes align with enterprise standards for security, recoverability, and reliability.
- Work in Agile delivery models including Scrum, Kanban, or hybrid teams to support iterative development and continuous improvement.