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].