# Remote Mid Level Backend Engineer for Data and Analytics Company **Company:** [Pearl](http://jobs.workable.com/companies/4KLMuj5WGNaACAyqrWkc8d.md) **Location:** Remote **Workplace:** remote **Employment type:** Full-time **Department:** Technical [Apply for this job](http://jobs.workable.com/view/7dd3fbd0-048a-47ec-a2e1-820ecbfab2d2) ## Description **Work From Anywhere in LATAM** **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. _Hear why we exist, what we believe in, and who we're building for:_ [_Watch here_](https://www.loom.com/share/863b8e426e6d48309aa8f4ea4c1c94cd) **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 ## Requirements 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 ## Benefits - **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.