Healthcare Data Integrations Engineer

landa; San Francisco (CA); On-site; USD 160,000 - 190,000; Full time

Job summary

landa in San Francisco, CA seeks an Engineer, Data & Integrations to own how data enters Recourse and stays trustworthy. You will build the ingestion pipeline for 835 and 837 files and lead OCR/LLM-based extraction for reliable data.

You’ll design the data model, build integrations with customer systems and SFTP endpoints, and implement validation to prevent bad data from reaching a claim. Tech: TypeScript, Next.js, Prisma, PostgreSQL on Google Cloud, with LLM reasoning.

Qualifications

• 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. The specific stack matters less than the ability to pick things up.
• Hands-on experience using LLMs for structured extraction from unstructured sources.
• Experience building in regulated or security-sensitive environments (HIPAA, SOC 2, PCI) is a plus.
• A preference for small teams and early-stage chaos over mature org charts.

Responsibilities

• Build and maintain ingestion pipeline for 835 and 837 files across every customer format we encounter
• Own document parsing: OCR on scanned EOBs, LLM-assisted extraction, and the consistency guarantees that make it reliable
• Build integrations with customer systems, SFTP endpoints, clearinghouses, and eligibility services
• Design the data model that everything downstream depends on
• Build the validation and reconciliation layer that catches bad data before it reaches a claim
• Partner with operations to understand what real-world data actually looks like, not what the spec says it should look like

Skills

Data pipelines

SQL

Data modeling

TypeScript

Python

LLMs

Regulated environments

Team mindset

Tools

PostgreSQL

Prisma

Next.js

Google Cloud

Job description

landa in San Francisco, CA seeks an Engineer, Data & Integrations to own how data enters Recourse and stays trustworthy. You will build the ingestion pipeline for 835 and 837 files and lead OCR/LLM-based extraction for reliable data.

You’ll design the data model, build integrations with customer systems and SFTP endpoints, and implement validation to prevent bad data from reaching a claim. Tech: TypeScript, Next.js, Prisma, PostgreSQL on Google Cloud, with LLM reasoning.