Serve as a Quality Engineering SME for Epic and/or Oracle Health (Cerner), including clinical workflows, data structures, and cross-domain relationships.
Lead end-to-end validation across healthcare applications, databases, ETL/ELT pipelines, APIs, interfaces, and integrated systems.
Define test strategies, validation approaches, scope, acceptance criteria, risks, and release-readiness recommendations.
Perform source-to-target reconciliation, validating record counts, mappings, transformations, business rules, completeness, accuracy, referential integrity, duplicates, and missing values.
Develop advanced SQL queries to validate large healthcare datasets and investigate discrepancies.
Design automated data-validation and regression tests using Python or a comparable programming language.
Develop reusable automation frameworks and integrate automated testing into CI/CD pipelines.
Validate patient, provider, encounter, clinical, laboratory, medication, financial, and operational data.
Test healthcare platforms and integrations involving EHR/EMR, LIS, Blood Bank, Revenue Cycle, ERP, HL7, CCD/C-CDA, FHIR, XML, JSON, and REST APIs.
Trace data across systems, investigate defects, perform root-cause analysis, and collaborate with engineering teams through resolution and regression testing.
Lead QA activities across multiple projects, communicate quality risks and status, and mentor QA engineers.
Apply AI-assisted testing to improve test design, automation, test-data generation, data analysis, and defect investigation.
Ensure compliance with HIPAA, privacy, security, and PHI/PII handling requirements.
Qualifications
Strong Quality Engineering experience in healthcare data validation and test automation.
Hands-on Epic and/or Oracle Health (Cerner) experience, including clinical workflows and data structures.
Advanced SQL and experience testing ETL/ELT pipelines, databases, and data transformations.
Proficiency in Python or a comparable scripting language.
Experience with automation frameworks, regression testing, APIs, integrations, and CI/CD.
Knowledge of healthcare data and interoperability standards.
Experience leading QA projects, performing root-cause analysis, and mentoring team members.
Strong analytical, problem-solving, communication, and stakeholder-management skills.
Working knowledge of AI-assisted testing or Generative AI is preferred
5+ years of experience in software Quality Assurance or Quality Engineering, including data validation and test automation.
3+ years of experience testing healthcare applications, integrations, or healthcare data.
3+ years of hands-on experience with advanced SQL, ETL/ELT or data-pipeline testing, and automation using Python or a comparable language
Additional Information
ELLKAY is committed to fostering a collaborative and high-performance work environment that supports innovation, teamwork, and professional growth. Most roles are designed to operate from our office locations to encourage effective collaboration and engagement across teams.Any alternative work arrangements may be considered at the company’s discretion based on role requirements and business needs.
For more information about our company, please visit www.ELLKAY.com.
ELLKAY is a Smoke-Free Workplace.
ELLKAY, LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
