Engineer, Data & Integrations

recoursehealth.com • San Francisco, CA

4d

About The Position

This role focuses on making healthcare data usable, which is crucial for the Independent Dispute Resolution (IDR) system established by the No Surprises Act. The IDR system determines billions in healthcare payments annually, but currently relies on manual processes. The company is building an intelligent system to operate within this market, and reliable data ingestion is the foundation for its success. The challenge lies in the poor quality and varied formats of healthcare data, including faxed PDFs and outdated EDI formats, as well as data from legacy systems lacking APIs. Solving these data challenges is key to scaling the business.

Requirements

• 4+ years building data pipelines, integrations, or backend systems in production.
• Strong SQL and data modeling instincts.
• Experience with messy real-world data: parsing, extraction, validation, reconciliation.
• Comfort with TypeScript or Python.
• Hands-on experience using LLMs for structured extraction from unstructured sources.
• Sound judgment, technical depth, and ownership mindset.
• Grit matters more than pedigree.

Nice To Haves

• Experience building in regulated or security-sensitive environments (HIPAA, SOC 2, PCI, financial controls).
• Healthcare data experience specifically: EDI, X12, 835/837, HL7, FHIR, clearinghouses, or revenue cycle systems.

Responsibilities

• Build and maintain the ingestion pipeline for 835 and 837 files across every customer format.
• Own document parsing, including OCR on scanned EOBs and LLM-assisted extraction, ensuring reliability.
• Build integrations with customer systems, SFTP endpoints, clearinghouses, and eligibility services.
• Design the data model that all downstream processes depend on.
• Build the validation and reconciliation layer to catch bad data before it reaches a claim.
• Solve the 'same document, two different answers' problem, a critical reliability issue.
• Partner with operations to understand real-world data nuances.

Benefits

• Institutional backing
• Shared platform team spanning engineering, strategy, design, and back-office
• Early access to large provider systems
• Funded, validated opportunity with real customers and real data
• Opportunity to build expertise in a scarce area of data engineering
• Chance to make this the best work of your career
• A culture where people do their best work because they are supported, not squeezed.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed