SDET Engineer – Encounter Data Processing (Healthcare Domain)

Jobskey Search and Selection; Bengaluru; Hybrid; INR 1,500,000 - 2,000,000; Full time

Job summary

Jobskey Search and Selection is hiring a SDET Engineer specializing in Encounter Data Processing within the Healthcare domain. The selected candidate will work with a hybrid model and should possess extensive experience with Facets, X12 EDI transactions, and SQL validation.

This role requires strong expertise in automation frameworks like TOSCA and Robot Framework. The position encourages immediate joiners and presents an exciting opportunity to lead automation initiatives in a fast-paced environment.

Qualifications

• 8+ years of experience in the Healthcare Payer domain.
• Strong background in encounter data processing.
• Deep expertise in automation frameworks.

Responsibilities

• Design and execute end-to-end encounter lifecycle test scenarios.
• Build automation frameworks using TOSCA and Robot Framework.
• Validate encounter submissions against requirements.

Skills

Facets (Mandatory) – Claims Module & Encounter Data Validation

X12 EDI Transactions – 837P, 837I, 837D

277CA Claim Acknowledgements

999 / TA1 Validation & Reconciliation

SQL for Data Validation & Cross-Verification

Edifecs or Similar EDI Validation Tools

TOSCA Automation Framework

Robot Framework Automation

Healthcare Payer Domain Knowledge

CMS & State Companion Guide Compliance

Job description

Hiring Now: SDET Engineer – Encounter Data Processing (Healthcare Domain)

Locations: Bangalore | Chennai | Hyderabad | Pune | Vadodara

Work Mode: Hybrid (2-3 Days Work from Office)

Shift Timing: 2:00 PM – 11:00 PM IST

Experience Required: 8+ Years

Open Positions: 1

Joining Preference: Immediate Joiners or Candidates Serving Notice Period (Must Join by 15th July)

About the Role

We are looking for an experienced SDET Engineer – Encounter Data Processing with a strong background in the Healthcare Payer domain. The ideal candidate should possess deep expertise in Facets, X12 EDI transactions, SQL validation, and test automation frameworks to support large-scale encounter data submission and validation processes.

Key Skills Required

• Facets (Mandatory) – Claims Module & Encounter Data Validation
• X12 EDI Transactions – 837P, 837I, 837D
• 277CA Claim Acknowledgements
• 999 / TA1 Validation & Reconciliation
• SQL for Data Validation & Cross-Verification
• Edifecs or Similar EDI Validation Tools
• TOSCA Automation Framework
• Robot Framework Automation
• Healthcare Payer Domain Knowledge
• CMS & State Companion Guide Compliance

Domain Expertise Required

• Encounter Data Processing
• Medicaid Encounter Submissions
• Medicare Advantage Encounter Submissions
• TRICARE Encounter Processing
• Marketplace Healthcare Transactions
• Encounter Acceptance & Rejection Management
• CMS Encounter Submission Rules

Key Responsibilities

Design and execute end-to-end encounter lifecycle test scenarios across:

• 837P (Professional)
• 837I (Institutional)
• 837D (Dental)
• 277CA
• 999 / TA1

Build, maintain, and enhance automation frameworks using:

• TOSCA
• Robot Framework

Perform Facets-to-Encounter Data Validation

Lead reconciliation activities between source claims and submitted encounters

Validate encounter submissions against CMS and State Companion Guide requirements

Conduct Root Cause Analysis (RCA) for encounter rejections and CMS/State edit failures

Drive automation coverage and improve regression testing efficiency

Mentor QA Analysts and support EDI validation best practices

Technical Expertise

Strong understanding of X12 transaction structures, loops, and segments

Hands-on experience with Edifecs or equivalent EDI validation platforms

Expertise in SQL-based validation of:

• Claim Headers
• Claim Details
• Member Eligibility
• Encounter Reconciliation

Strong Healthcare Payer testing experience

Why Join?

• Work on mission-critical Healthcare Data Processing programs
• Exposure to Medicare, Medicaid, TRICARE & Marketplace systems
• Opportunity to lead automation initiatives in a fast-growing environment
• Hybrid work model with top-tier technology teams

Interested candidates can share their updated resume at:

Email: [e-mail]

WhatsApp: [phone]