Recovery Intelligence for health plans. INTELLIVO detects more reimbursement opportunities with no member abrasion. Backed by Thompson Street Capital Partners.
About the role
Everything we do starts with claims data arriving correctly. This role owns that front door and everything immediately behind it.
What they're looking for
- Onboard and maintain data partners and clearinghouses end to end: companion guide interpretation, mapping, connectivity, test and certification cycles, and production cutover
- Build and maintain reliable, query-ready claims data pipelines and models from raw landing through curated data
- Work with claims, member, provider, and payment data, including standard code sets such as ICD-10, CPT and HCPCS, NPI, revenue codes, and adjustment and remark codes
- Write and tune complex, high-performance SQL against large claims data sets, including query optimization, indexing, and execution plan analysis when things run slow
- Build and operate data pipelines in Microsoft Fabric and the Azure data stack: ingestion, transformation, orchestration, scheduling, alerting, and monitoring
- Establish data quality and reconciliation controls: file-level and claim-level balancing, duplicate detection, rejection handling, and clean reprocessing paths when something needs to be run again
More about this role
Sr. EDI Engineer
Role Summary
Everything we do starts with claims data arriving correctly. This role owns that front door and everything immediately behind it.
It is two jobs that belong together. The intake half is about movement and fidelity: onboarding trading partners, interpreting companion guides and file specs, and parsing and validating incoming data — X12 EDI transactions, flat files, and other structured or unstructured data files — so that nothing is silently dropped, duplicated, or mistranslated on the way in. The engineering half is about what happens next: transforming raw transactions and files into reliable, query-ready data that the rest of the business can use with confidence.
You will live in SQL and you will be fluent in it, not just functional. You will work in the Microsoft Fabric and Azure data stack. We expect you to use AI tools as part of how you work, whether that is accelerating a new partner mapping, pulling structure out of an unstructured attachment, or flagging anomalies in a file that looks fine until it is not. We are a small company, so this seat sets the data engineering standard rather than inheriting one. This is a remote position; candidates...
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