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Work Schedule:
EST | Full overlap with US Eastern business hours (Monday–Friday)
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.
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About the Client
A seed-stage healthcare technology company is building the data infrastructure that powers smarter, faster healthcare coverage decisions, and is hiring a Senior Backend Engineer to own that infrastructure end-to-end.
The company aggregates and normalizes more than 100,000 medical policies from over 100 payers into a searchable database, using AI systems to turn dense payer rules into actionable insights. Backed by several early-stage accelerators and investors, the team recently landed a commercial partnership and is now scaling its applied AI systems.
About the Role
You'll join a lean, founder-led engineering team as the Senior Backend Engineer, reporting directly to the founder and acting as technical lead for a small group of part-time and offshore engineers — reviewing code and shaping architectural decisions without formal people-management responsibility. You'll own the end-to-end web scraping and data ingestion pipeline, use LLMs to structure unstructured payer policy data, and build the CI/CD and reliability systems the platform runs on.
Core Responsibilities
Web Scraping Infrastructure & Platform Development
Build and scale platform infrastructure for web scrapers collecting policy data from 100+ healthcare payers
Improve scraper reliability and scalability without sacrificing data accuracy
Own the end-to-end scraper pipeline from data ingestion to storage
Resolve infrastructure bottlenecks blocking new scraper development
LLM-Powered Data Normalization & Structuring
Use LLM systems to transform unstructured payer policy text into structured, searchable data
Infer and tag relevant medical codes from policy language using AI models
Determine coverage status for procedures based on LLM-driven analysis
Build evaluation and testing harnesses to validate AI system output quality
CI/CD, Job Reliability & System Ownership
Build and maintain CI/CD pipelines for testing and deploying scraper jobs
Improve reliability of scraper job infrastructure through monitoring and fixes
Diagnose and resolve system issues across the data pipeline
Own architectural decisions and communicate them to the engineering team
API Design & Data Product Development
Design and maintain APIs serving normalized policy data to customers
Support the Snowflake-based data product used by client customers
Ensure data outputs are structured for downstream usability
Must-Have
3-5 years of professional backend engineering experience with demonstrated ownership of production data pipelines or platform-level systems
Expert-level Python proficiency (3+ years in a professional backend engineering context)
Strong SQL experience, including complex queries and schema design (Postgres or equivalent relational database)
Hands-on cloud infrastructure experience deploying and managing services (AWS preferred; Azure or GCP with 2+ years accepted)
Demonstrated experience working with messy, unstructured, or ambiguous data sources (data normalization, cleaning, or ingestion from inconsistent external sources)
Experience owning CI/CD pipeline design and implementation for testing and deployment
Client-facing English proficiency at B2+ (CEFR)
Nice-to-Have
Experience building or productionizing LLM-based systems with evaluation or testing components (not limited to API calls)
Web scraping framework experience (Scrapy, Playwright, or similar)
Experience with RAG (Retrieval-Augmented Generation) pipelines
Prior experience in healthcare, fintech, or another highly regulated data domain
Infrastructure-as-Code experience (Terraform) or familiarity with FastAPI/Snowflake
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
Application
Screening
Skills Assessment
Topgrading Interview
Client Interview
Job Offer
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.