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—helping deliver better healthcare for everyone. We 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. This role requires a hands-on engineer who can validate complex data workflows end-to-end while also building scalable automation to improve coverage and efficiency. You will collaborate closely with ML, Data, and Engineering teams to ensure the reliability, scalability, and performance of our healthcare platform, built using Databricks, DBT, PostgreSQL. Ellipsis Health is located in the San Francisco Bay Area, but we are open to remote candidates within the United States. Key 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 Required Qualifications: 5+ years of experience in SDET or QA roles with a strong mix of functional testing and automation Strong understanding of ETL testing, data validation, and data quality assurance practices Proficiency in SQL for data validation, reconciliation, and test design Hands-on experience with Databricks, Apache Spark, or similar data platforms Experience with DAG/workflow orchestration tools such as Apache Airflow or Databricks Workflows Experience building and maintaining test automation frameworks (e.g., Playwright, Cypress, Selenium) Experience with API testing tools such as Postman, RestAssured, or similar Strong knowledge of QA methodologies, test design techniques, and defect tracking processes Experience working in Agile/Scrum environments Experience testing systems that incorporate Machine Learning models, Speech-to-Text, or Text-to-Speech systems Strong analytical and problem-solving skills with attention to detail Excellent communication and collaboration skills Experience creating test plans, test strategies, and quality processes for data/ETL releases Basic understanding of LLMs and AI-driven features, including how to test them effectively Nice to Have: Experience in healthcare or regulated environments, especially with ETL workflows Knowledge of healthcare data standards such as HIPAA, HL7, or FHIR Strong experience with PostgreSQL and database testing for reporting and ETL validation Familiarity with cloud data platforms such as Snowflake, Redshift, or BigQuery Exposure to monitoring and logging tools like Splunk, Datadog, or similar Experience with data visualization tools like Tableau, Power BI, or Looker for validating reporting layers Experience using scripting (e.g., Python, Shell) for automation and data validation Familiarity with testing considerations for LLMs and GenAI systems Salary and Benefits We offer a competitive salary of $140-$160k and benefits, including a 401k that matches up to 4% of your salary, health, vision, and dental insurance, and very flexible paid time off. Background Checks As a health technology company, we reserve the right to run a background check on any applicant to which we extend an offer and to re-perform any such check at any time during the course of employment. Please know that there is no set policy on rejecting candidates due to certain background check results, and that we consider a candidate as a whole before making any decisions. We comply with all “ban the box” laws in applicable jurisdictions. Assistance If you have a disability or otherwise require any assistance whatsoever in the application or recruitment process, please feel free to submit a request to [email protected]. Apply To This Job