Remote Senior Backend Engineer at Pearl Talent

Worldwide | Oct. 15, 2026

Report as Closed

Company: Remote First

Country: Worldwide

Type: Remote

Employment: Full-time

Description:

Work From Anywhere in LATAM

Work Schedule: EST | Full overlap with US Eastern business hours

About Pearl Talent

Pearl works with the top 1% of candidates from around the world and connects them with the best startups in the US and EU. Our clients have raised over $5B in aggregate and are backed by companies like OpenAI, a16z, and Founders Fund.

Hear why we exist, what we believe in, and who we’re building for: Watch here

About the Client

A seed-stage healthcare data company is building the central source of payer policy data behind coverage decisions, and is looking for a Senior Backend Engineer to own its data infrastructure end to end.

The company collects and structures more than 100,000 medical policies from over 100 insurance payers, using AI to turn complex payer rules into searchable data for customers. It is backed by healthcare accelerators and the National Institutes of Health, recently signed a commercial partnership, and is now scaling its applied AI systems.

About the Role

Day to day, you will scale the web scraping platform, build LLM workflows that pull medical codes and coverage rules out of policy text, and improve the reliability of scraper jobs and deployments. As technical lead, you will review code and make architectural decisions for part-time and offshore engineers, without managing people directly. Success means reliable scraper jobs, automated testing and deployment, and structured data accurate enough for customers to act on.

Core Responsibilities

Web Scraping Infrastructure

• Build and scale the platform used to develop scrapers that collect policy data from 100+ payers
• Improve scraper reliability and throughput without reducing data accuracy
• Own the scraper pipeline from ingestion through storage

LLM Data Normalization

• Build LLM workflows that convert unstructured policy text into structured, searchable records
• Infer and tag related medical codes (CPT, ICD-10) from policy language
• Classify procedure coverage status (covered or not covered) by payer
• Build evaluation and testing harnesses to measure and track output accuracy

CI/CD and System Reliability

• Build and maintain CI/CD pipelines for testing and deploying scraper jobs
• Monitor job failures, diagnose root causes, and ship fixes
• Review pull requests from part-time and offshore engineers
• Document architectural decisions and share them with the engineering team

APIs and Data Product

• Design and maintain APIs that serve normalized policy data to customers
• Support the Snowflake-based data product used by customers
• Join occasional customer calls to understand feature requirements

Must-Have

• 5+ years of backend engineering experience building production systems in Python
• Production experience with SQL and PostgreSQL for storing and querying large datasets
• Experience building pipelines that ingest, clean, and normalize messy or unstructured data
• Hands-on experience deploying and running backend services on AWS, GCP, or Azure
• Experience reviewing code and owning architectural decisions on a shared codebase
• English at C1 (CEFR) for daily video calls and technical discussions with US-based founders

Nice-to-Have

• Experience building LLM-based extraction or classification with evaluation harnesses (OpenAI, Anthropic, LangChain, or similar)

• Web scraping at scale with Scrapy, Playwright, or similar frameworks

• Experience with RAG (Retrieval-Augmented Generation) pipelines

• Hands-on use of Terraform, FastAPI, or Snowflake

• Exposure to healthcare payer policy data, medical coding (CPT, ICD-10), or prior authorization

• Competitive Salary: Based on experience and skills

• Remote Work: Fully remote—work from anywhere

• Team Incentives: Recognition for maintaining 100% CRM hygiene and on-time reporting

• Generous PTO: In accordance with company policy

• Health Coverage for PH-based talents: HMO coverage after 3 months for full-time employees

• Direct Mentorship: Guidance from international industry experts

• Learning & Development: Ongoing access to resources for professional growth

• Global Networking: Connect with professionals worldwide

Our Recruitment Process

1. Application
2. Screening
3. Skills Assessment
4. Topgrading Interview
5. Client Interview
6. Job Offer
7. Client Onboarding

Ready to Join Us?

If you’re empathetic, organized, and passionate about improving patient experiences through operational excellence, this role is for you. Apply now to help make specialized healthcare more accessible to patients across the U.S.

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Web: Apply here

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