Remote Senior Backend Engineer

Pearl

Bogotá

Remote

COP 318,279,000 - 509,246,000

Full time

14 days+

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Benefits offered by this job

Competitive Salary

Remote Work: Fully remote—work from 0

Mentorship and career growth

Learning & Development

Global Networking

Health Coverage for PH-based talents:

Job summary

Pearl Talent is seeking a Senior Backend Engineer to scale our data infrastructure for healthcare policy data. You will own end‑to‑end data pipelines, build LLM workflows, and improve scraper reliability while guiding part‑time and offshore engineers.

This is a fully remote role with EST overlap and collaboration with US/EU clients. You will design APIs, participate in architectural decisions, and ensure production systems run reliably with automated testing and deployment.

Qualifications

5+ years backend engineering in production systems using Python.
SQL and PostgreSQL experience for large datasets.
Experience building pipelines that ingest, clean, and normalize unstructured data.
Hands-on deployment/running of backend services on AWS, GCP, or Azure.
Experience reviewing code and owning architectural decisions on a shared codebase.
English at C1 for daily calls with US‑based founders.

Responsibilities

Scale the web scraping platform and its pipelines.
Build LLM workflows to extract codes and rules from policy text.
Improve reliability of scraper jobs and deployments.
Review code and guide offshore engineers without people management.
Design and maintain APIs for normalized policy data used by customers.
Maintain CI/CD pipelines and deployment automation.

Skills

Python

PostgreSQL

Data pipelines

Cloud (AWS/GCP/AZURE)

Code review/architecture

English (C1)

Tools

Terraform

FastAPI

Snowflake

Job 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

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

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

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