Design and build EDI transaction processing pipelines using Java and API-driven services to replace existing Edifecs-based workflows, deploying on Azure cloud services (Logic Apps, Azure Functions, Service Bus, API Management) where applicable.
Re-platform X12 mapping, validation, and transformation rules from Edifecs specs/maps into target-platform schemas and custom Java code.
Own end-to-end development for core healthcare transaction sets: 834 (Enrollment), 278 (Authorization), 270/271 (Eligibility), 835 (Remittance Advice), and 837 (Claims - institutional/professional/dental).
Partner with QE to define test scenarios, synthetic EDI file generation, and automated validation for parity between legacy Edifecs output and new Azure pipelines.
Apply AI/GenAI tooling (Copilot-style code assistance, LLM-based test case or mapping-rule generation) to speed up migration and reduce manual mapping effort.
Troubleshoot transaction failures, envelope/segment errors, and companion-guide deviations across trading partners.
Document mapping specifications, migration runbooks, and cutover/rollback plans for each transaction set.
Collaborate with onshore/offshore teams, EDI business analysts, and clearinghouse/trading-partner contacts during parallel-run and go-live phases.

5+ years of strong software engineering experience building X12 EDI transaction processing solutions (834, 278, 270/271, 835, 837).
Strong working knowledge of Edifecs components (XEngine, Transaction Manager, SpecBuilder, or similar) and experience migrating off a legacy EDI platform.
Strong Java development skills for custom transformation, validation, and integration logic.
Hands-on experience designing, building, and consuming APIs (REST/SOAP) for system integration and trading-partner connectivity.
Strong SQL expertise, including complex queries and data stores for transaction logging, reconciliation, and audit trails.
Strong troubleshooting skills for EDI envelope, segment, and business-rule level errors.

Healthcare payer or clearinghouse domain experience, including HIPAA 5010 implementation guides, companion guides, and trading-partner onboarding.
Exposure to AI-assisted development tools (GitHub Copilot or equivalent).
Practical experience with Azure integration services: Logic Apps, Azure Functions, API Management, Service Bus/Event Grid, Azure Integration Account (X12 schemas/agreements).
Proficiency in Python for scripting, automation, and custom transformation logic.

Design and build EDI transaction processing pipelines using Java and API-driven services to replace existing Edifecs-based workflows, deploying on Azure cloud services (Logic Apps, Azure Functions, Service Bus, API Management) where applicable.
Re-platform X12 mapping, validation, and transformation rules from Edifecs specs/maps into target-platform schemas and custom Java code.
Own end-to-end development for core healthcare transaction sets: 834 (Enrollment), 278 (Authorization), 270/271 (Eligibility), 835 (Remittance Advice), and 837 (Claims - institutional/professional/dental).
Partner with QE to define test scenarios, synthetic EDI file generation, and automated validation for parity between legacy Edifecs output and new Azure pipelines.
Apply AI/GenAI tooling (Copilot-style code assistance, LLM-based test case or mapping-rule generation) to speed up migration and reduce manual mapping effort.
Troubleshoot transaction failures, envelope/segment errors, and companion-guide deviations across trading partners.
Document mapping specifications, migration runbooks, and cutover/rollback plans for each transaction set.
Collaborate with onshore/offshore teams, EDI business analysts, and clearinghouse/trading-partner contacts during parallel-run and go-live phases.

5+ years of strong software engineering experience building X12 EDI transaction processing solutions (834, 278, 270/271, 835, 837).
Strong working knowledge of Edifecs components (XEngine, Transaction Manager, SpecBuilder, or similar) and experience migrating off a legacy EDI platform.
Strong Java development skills for custom transformation, validation, and integration logic.
Hands-on experience designing, building, and consuming APIs (REST/SOAP) for system integration and trading-partner connectivity.
Strong SQL expertise, including complex queries and data stores for transaction logging, reconciliation, and audit trails.
Strong troubleshooting skills for EDI envelope, segment, and business-rule level errors.

Healthcare payer or clearinghouse domain experience, including HIPAA 5010 implementation guides, companion guides, and trading-partner onboarding.
Exposure to AI-assisted development tools (GitHub Copilot or equivalent).
Practical experience with Azure integration services: Logic Apps, Azure Functions, API Management, Service Bus/Event Grid, Azure Integration Account (X12 schemas/agreements).
Proficiency in Python for scripting, automation, and custom transformation logic.

Java Edifecs Development Engineer

Skills