Associate QA Lead

ELLKAY started out providing connectivity solutions to laboratories and within a few years, grew to also provide data management solutions to ambulatory organizations. ELLKAY is now a trusted data management partner in five healthcare segments. ELLKAY’s solutions continue to serve laboratories and ambulatory practices and have expanded to empower hospitals and health systems, healthcare IT vendors, ambulatory practices, health plans, and other healthcare organizations with cutting-edge technologies and solutions that drive their growth and interoperability strategies.

Today, ELLKAY remains true to our core values, building strong partner relationships and offering unparalleled service and support while providing innovative, scalable solutions to the challenges our customers face in today’s data-rich world.

ELLKAY's experience, customer-focused approach, and reputation for innovation, speed, and accuracy differentiate ELLKAY as a premier partner for your interoperability needs and data management strategy.

Job Description:

We are seeking an experienced QA Associate Lead with strong expertise in healthcare data validation, advanced SQL/database testing and Epic and Oracle Health (Cerner). This role will lead end-to-end QA and data validation across complex healthcare applications, databases, integrations, and enterprise systems, ensuring data accuracy, completeness, consistency, integrity, and traceability.

The ideal candidate will have strong healthcare domain knowledge, excellent analytical and root cause analysis skills, and experience leading QA activities across multiple projects. The candidate will serve as a Subject Matter Expert (SME) for Epic and Oracle Health (Cerner), with strong knowledge of clinical workflows, data structures, and relationships across major healthcare domains. Working knowledge of AI/Generative AI and AI-assisted QA is preferred.

Essential Duties & Responsibilities:

• Serve as an QA SME for Epic and Oracle Health (Cerner) systems, including clinical workflows, data structures, and relationships across major healthcare domains.
• Lead end-to-end data validation across healthcare applications, databases, interfaces, APIs, and integrated systems.
• Perform source-to-target reconciliation and validate record counts, field mappings, transformations, business rules, referential integrity, duplicates, missing/null values, data formats, and cross-system relationships.
• Develop and execute advanced SQL queries, including complex joins, aggregations, comparisons, and reconciliation queries, to validate large healthcare datasets and identify discrepancies.
• Validate healthcare data involving patients, providers, encounters, clinical documentation, orders/results, laboratory, medications, financial, and operational data.
• Apply deep knowledge of Epic and/or Oracle Health (Cerner) data structures, workflows, and healthcare domains to define validation strategies and troubleshoot complex data issues.
• Validate healthcare systems including EHR/EMR, LIS, Blood Bank, Financial/Revenue Cycle, ERP, HR, and other enterprise healthcare applications.
• Perform integration and interoperability testing involving HL7, CCD/C-CDA, FHIR, XML, JSON, and APIs.
• Trace data across source systems, ETL/transformation layers, databases, interfaces, and applications to identify root causes of complex data discrepancies.
• Define testing scope, data-validation strategy, acceptance criteria, and project-specific QA checklists based on requirements and risk.
• Identify and manage defects using JIRA or similar tools, perform root cause analysis, and collaborate with Development and Data Engineering teams through resolution and regression testing.
• Lead multiple QA projects, proactively identify quality risks, and communicate testing status and issues to stakeholders.
• Mentor QA engineers in SQL, healthcare data validation, troubleshooting, and QA best practices.
• Identify opportunities to use AI and automation for data validation, anomaly detection, test generation, SQL assistance, and QA process improvement.
• Ensure QA activities comply with HIPAA, privacy, security, and PHI/PII handling requirements.

Qualifications

• Strong QA experience with healthcare data, EHR/EMR applications, integrations, and database testing.
• SME-level knowledge and hands-on experience with Epic and/or Oracle Health (Cerner), including clinical workflows, data structures, and healthcare data relationships.
• Advanced SQL and database validation skills, including complex joins, reconciliation, and large-volume data analysis.
• Strong experience with end-to-end data validation, source-to-target reconciliation, data mapping, transformation testing, and data integrity validation.
• Strong understanding of healthcare workflows and patient, provider, encounter, clinical, laboratory, and financial data.
• Knowledge of HL7, CCD/C-CDA, FHIR, XML, JSON, APIs, and healthcare interoperability.
• Strong analytical, troubleshooting, and root cause analysis skills.
• Experience leading QA activities and mentoring QA engineers.
• Working knowledge of AI/Generative AI and AI-assisted QA techniques is preferred.

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.