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 careers@ellipsishealth.com.