{"id":3591815,"url":"https://alion.io/job/ascendion-java-edifecs-development-engineer","title":"Java Edifecs Development Engineer","company":{"id":46972,"name":"Ascendion","domain":"ascendion.com","url":"https://alion.io/company/ascendion","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":79,"open_postings":30,"ghost_share":0,"stale_share":0.833,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Hyderabad, India","Chennai, India","Pune, 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mapping, validation, and transformation rules from Edifecs specs/maps into target-platform schemas and custom Java code.\nOwn 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).\nPartner with QE to define test scenarios, synthetic EDI file generation, and automated validation for parity between legacy Edifecs output and new Azure pipelines.\nApply AI/GenAI tooling (Copilot-style code assistance, LLM-based test case or mapping-rule generation) to speed up migration and reduce manual mapping effort.\nTroubleshoot transaction failures, envelope/segment errors, and companion-guide deviations across trading partners.\nDocument mapping specifications, migration runbooks, and cutover/rollback plans for each transaction set.\nCollaborate with onshore/offshore teams, EDI business analysts, and clearinghouse/trading-partner contacts during parallel-run and go-live phases.\nRequired Skills & Experience\n5+ years of strong software engineering experience building X12 EDI transaction processing solutions (834, 278, 270/271, 835, 837).\nStrong working knowledge of Edifecs components (XEngine, Transaction Manager, SpecBuilder, or similar) and experience migrating off a legacy EDI platform.\nStrong Java development skills for custom transformation, validation, and integration logic.\nHands-on experience designing, building, and consuming APIs (REST/SOAP) for system integration and trading-partner connectivity.\nStrong SQL expertise, including complex queries and data stores for transaction logging, reconciliation, and audit trails.\nStrong troubleshooting skills for EDI envelope, segment, and business-rule level errors.\nPreferred / Good to Have\nHealthcare payer or clearinghouse domain experience, including HIPAA 5010 implementation guides, companion guides, and trading-partner onboarding.\nExposure to AI-assisted development tools (GitHub Copilot or equivalent).\nPractical experience with Azure integration services: Logic Apps, Azure Functions, API Management, Service Bus/Event Grid, Azure Integration Account (X12 schemas/agreements).\nProficiency in Python for scripting, automation, and custom transformation logic.\nPrior experience on an Edifecs-to-cloud (Azure/AWS) modernization project.\nKnowledge of Azure Health Data Services or FHIR.\nExposure to CI/CD pipelines (Azure DevOps) for integration deployments.","description_format":"text","description_chars":2932,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Outsourcing & Dedicated Teams","Custom Software Development","AI Consulting & 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