Software Engineer in Test

Integra Connect is a value-based healthcare company specializing in Health IT and analytics solutions. They are seeking a Software Engineer in Test (SEIT) to validate data-driven products that support population health and payer analytics initiatives, focusing on creating reliable test solutions across various data platforms.

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

Requirements:

• Required experience in population health, managed care, payer analytics, value-based care, or healthcare data platforms
• Hands-on experience with Snowflake and data migration or modern data platform initiatives
• Strong SQL skills and experience with business intelligence and data validation tools
• Experience designing and executing automated data quality, validation, and verification processes
• Strong understanding of healthcare data domains such as claims, eligibility, quality measures, risk adjustment, utilization, and care management data
• Understanding of dependencies across complex healthcare data sets and how they impact reporting, analytics, and operational performance
• Experience supporting testing for data integration, analytics, and reporting solutions in high-complexity healthcare environments
• Strong collaboration skills with the ability to work cross-functionally with technical and business stakeholders
• Python experience is a plus, or willingness to learn