Quality Engineer / Test Engineer – Facets

Machine Learning Technologies, LLC; Minnetonka (MN); On-site; USD 86,000 - 123,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking an experienced Quality Engineer / Test Engineer with strong Facets and healthcare payer domain knowledge to develop and execute risk-based testing strategies across applications, integrations, data, and regulatory business processes. The role will ensure that regulatory and business requirements are validated end-to-end before production release.

Responsibilities include designing test strategies, plans, and cases; performing functional and

Qualifications

• Experience with healthcare payer domain and Facets testing methodologies.
• Ability to design risk-based test strategies and end-to-end test plans.

Responsibilities

• Develop and execute risk-based test strategies, test plans, test scenarios, and test cases based on business and regulatory requirements.
• Perform functional and end-to-end testing across Facets, Claims, Eligibility, Enrollment, applications, integrations, and data flows.
• Validate regulatory requirements and ensure implemented solutions meet defined acceptance criteria.
• Perform system, integration, regression, and end-to-end testing for impacted healthcare applications.
• Validate data movement and business rules across upstream and downstream systems.
• Perform Claims and Eligibility transaction validation within Facets and integrated applications.
• Lead or participate in defect triage, including defect analysis, prioritization, retesting, and closure validation.
• Maintain traceability between requirements, test scenarios, test cases, defects, and regulatory outcomes.
• Collaborate with Business/Regulatory Analysts, Solution Architects, Engineers, and business stakeholders.

Skills

Facets

Claims

Eligibility

Regulatory Testing

Integration Testing

Data Validation

Job description

Duration

17Months+ Extension

Domain Exposure

Government

Client

To Be Discussed Later

Employment Type

W-2, 1099, C2C

Work Authorization

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Duration: 17 Months + Extension

Bill Rate: $76/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Description

We are looking for an experienced Quality Engineer / Test Engineer with strong Facets and healthcare payer domain knowledge to develop and execute risk-based testing strategies across applications, integrations, data, and regulatory business processes. The role will ensure that regulatory and business requirements are validated end-to-end before production release.

Key Responsibilities

• Develop and execute risk-based test strategies, test plans, test scenarios, and test cases based on business and regulatory requirements.
• Perform functional and end-to-end testing across Facets, Claims, Eligibility, Enrollment, applications, integrations, and data flows.
• Validate regulatory requirements and ensure implemented solutions meet defined acceptance criteria.
• Perform system, integration, regression, and end-to-end testing for impacted healthcare applications.
• Validate data movement and business rules across upstream and downstream systems.
• Perform Claims and Eligibility transaction validation within Facets and integrated applications.
• Lead or participate in defect triage, including defect analysis, prioritization, retesting, and closure validation.
• Maintain traceability between requirements, test scenarios, test cases, defects, and regulatory outcomes.
• Collaborate with Business/Regulatory Analysts, Solution Architects, Engineers, and business stakeholders.

Facets Domain

Healthcare / Payer Primary Skills: Facets, Claims, Eligibility, Regulatory Testing, Integration Testing, Data Validation

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.