Engineer, Data & Integrations

recoursehealth.com • San Francisco, CA

3d • Remote

About The Position

Recourse is building the first intelligent system designed to operate within the Independent Dispute Resolution (IDR) federal arbitration system, which determines billions of dollars in healthcare payments annually. The current IDR process is manual, fragmented, and resource-intensive, with most eligible claims never being filed. This role is crucial for transforming raw healthcare data (835 remittance files, 837 claim files, and explanation-of-benefits documents) into structured, trustworthy records, which is foundational for the entire system's success. The challenge lies in the poor quality and varied formats of healthcare data, including scanned PDFs at fax resolution and legacy systems lacking APIs. Solving these data ingestion and reliability issues is key to scaling the business and is a significant differentiator in the market.

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).
• Preference for small teams and early-stage chaos over mature org charts.
• Healthcare data 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 challenge.
• Partner with operations to understand real-world data nuances beyond specifications.

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 (Healthcare data engineering)
• Chance to make this the best work of your career
• Work with people who will raise your game
• Work on something that matters
• Opportunity to ship real things
• Supportive culture where people do their best work
• Equal Opportunity Employer

What This Job Offers

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