Senior Functional QA Engineer (SDET)– Healthcare AI

Senior Functional QA Engineer (SDET)– Healthcare AI

Senior Functional QA Engineer (SDET)– Healthcare AI

Location : Remote, located in the US; Partial in-person, San Francisco Bay Area

Type : Full-time

Department : Engineering

Reports to : Head of Engineering

We are looking for a Senior Functional QA Engineer (SDET) with significant experience in Quality Engineering for commercial-grade, data products that leverage Machine Learning & Gen AI. This role involves collaborating with ML and Data teams to ensure the reliability, scalability, and performance of our healthcare application, built using Databricks, DBT and PostgreSQL, Speech-to-Text, Large Language Models, and Text-to-Speech. The ideal candidate has a strong background in functional testing, automation, and Agile methodologies and will contribute to building the next generation of our app that will be used by millions of users all over the world.

Responsibilities

• Ability to understand SQL & Python for parsing business logic and writing test cases.
• Design, develop, and execute functional test plans, test cases, and test scripts for ETL pipelines, ensuring data accuracy, integrity, and completeness.
• Collaborate with data engineers, developers, and product managers to understand ETL requirements and ensure comprehensive test coverage.
• Validate data transformations, data mappings, and data loads across various stages of the ETL process.
• Identify, document, and track ETL defects, working closely with engineering teams to resolve data quality issues.
• Implement and maintain automation frameworks for ETL testing to enhance test efficiency and coverage.
• Perform data validation and reconciliation between source systems, staging, and target data warehouses.
• Conduct root cause analysis for data discrepancies and contribute to quality metrics reporting.
• Participate in Agile ceremonies, providing QA input during sprint planning and retrospectives.
• Lead functional validation efforts and oversee test environment setup for ETL processes and data pipelines.
• Work with partners and vendor teams to validate integrations with healthcare data platforms.
• Perform manual validation for critical ETL processes, ensuring compliance with healthcare data standards (e.g., HIPAA, HL7, FHIR).
• Handle production deployments, hot fixes, and rollouts to ensure faster responses to critical data issues and customer requests.
• Collaborate with the Implementation / Onboarding Team to review and triage production data issues, identify root causes, and define action plans to improve test coverage.
• Work with cross-functional teams to validate healthcare-specific data models, ensuring compliance with regulatory and business requirements.

Qualifications

Nice to Have

Why Join Us?

Salary and Benefits

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