Senior Functional QA Engineer (SDET)– Healthcare AI jobs in United States
cer-icon
Apply on Employer Site
company-logo

Ellipsis Health · 2 months ago

Senior Functional QA Engineer (SDET)– Healthcare AI

Ellipsis Health is a company focused on improving access and outcomes in healthcare through technology. They are seeking a Senior Functional QA Engineer (SDET) to ensure the reliability and performance of their healthcare application, collaborating with data teams and contributing to the development of data products leveraging Machine Learning and AI.

Artificial Intelligence (AI)Health CareInformation TechnologySoftware
check
H1B Sponsor Likelynote

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

Qualification

ETL testingData validationTest automation frameworksSQLMachine LearningAgile methodologiesDatabricksAPI testingCommunication skillsProblem-solving skillsCollaboration skills

Required

5+ years of experience in Functional QA/SDET roles with expertise in ETL testing and data validation
Strong knowledge of ETL testing methodologies, data quality assurance, and defect tracking
Hands-on experience with Databricks, Apache Spark, or similar big data platforms
Proficiency in writing complex SQL queries for data validation, reconciliation, and testing
Experience with DAG-based job orchestration tools such as Apache Airflow or Databricks Workflows
Strong knowledge of test design techniques, defect tracking, and QA methodologies
Hands-on experience with test automation frameworks such as Selenium, Cypress, or Playwright
Proficiency in API testing using Postman, RestAssured, or similar tools
Experience working in Agile/Scrum environments
Experience testing applications that incorporate Machine Learning models and Speech-to-Text/Text-to-Speech technologies
Strong analytical and problem-solving skills with attention to detail
Excellent communication and collaboration skills
Experience in setting up test management templates, creating test plans, and establishing quality processes for ETL releases
Basic understanding of LLMs and AI-enabled features for functional testing
Experience collaborating with Product and Engineering teams to triage, prioritize bugs, and assess release risks

Preferred

Experience with healthcare or medical applications, particularly in ETL workflows
Knowledge of database testing, particularly PostgreSQL, including ETL flows for data extraction, reporting, and validation
Exposure to monitoring and logging tools like Splunk, Datadog, or similar
Familiarity with cloud-based data platforms such as Snowflake, Redshift, or BigQuery
Experience with data visualization tools like Tableau, Power BI, or Looker for validating reporting layers
Knowledge of scripting languages (e.g., Python, Shell) for ETL automation and data validation
Familiarity with Large Language Models (LLMs) and their testing implications

Benefits

401k that matches up to 4% of your salary
Health, vision, and dental insurance
Very flexible paid time off

Company

Ellipsis Health

twittertwittertwitter
company-logo
AI Nursing Care Manager

H1B Sponsorship

Ellipsis Health has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6)
2024 (1)
2023 (2)
2021 (1)

Funding

Current Stage
Early Stage
Total Funding
$75.02M
Key Investors
SJF VenturesKhosla Ventures
2025-06-12Series A· $45M
2021-06-15Series A· $26M
2021-01-13Seed

Leadership Team

leader-logo
Mainul Mondal
Founder & CEO
linkedin
leader-logo
Dr. Michael Aratow
Chief Medical Officer, Co-Founder
linkedin
Company data provided by crunchbase