Senior Software Development Engineer in Test (SDET), Data

Ellipsis Health is creating cutting-edge AI/ML products that solve healthcare staffing challenges and administrative burdens using conversational AI and our patented voice biomarker technology. They are seeking a Senior Software Development Engineer in Test with strong experience in both functional testing and test automation for commercial-grade data products leveraging Machine Learning and GenAI.

Responsibilities:

• Perform both manual (functional) testing and automation for data pipelines, APIs, and AI-driven workflows
• Understand business logic using SQL and scripting (e.g., Python) to design comprehensive test scenarios
• Design, develop, and execute functional test plans, test cases, and test scripts for ETL pipelines, ensuring data accuracy, integrity, and completeness
• Build and maintain automation frameworks for ETL, API, and workflow testing to improve coverage and efficiency
• Validate data transformations, mappings, and data loads across all stages of the ETL lifecycle
• Perform data validation and reconciliation between source systems, staging layers, and target data stores
• Conduct manual validation for critical workflows and edge cases where automation is not sufficient
• Identify, document, and track defects; collaborate closely with engineering teams to resolve issues
• Conduct root cause analysis for data discrepancies and contribute to quality metrics and reporting
• Participate in Agile ceremonies, providing QA input during sprint planning, grooming, and retrospectives
• Lead functional validation efforts and support test environment setup for data pipelines and workflows
• Work with cross-functional teams and external partners to validate integrations with healthcare data platforms
• Support production releases, hotfix validation, and post-deployment verification, ensuring minimal impact to customers
• Collaborate with Implementation/Onboarding teams to triage production data issues and improve test coverage
• Validate healthcare-specific data models for compliance with regulatory and business requirements