Senior Backend Engineer

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P
Pearl TalentHealthcare data
Work From Anywhere in LATAM, EST | Full overlap with US Eastern business hoursFull-TimeSenior
Salary not disclosed
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Job Details

Languages
English at C1 (CEFR)
Experience
5+ years of backend engineering experience
Required Skills
AWSPostgreSQLPythonSQLGCPMicrosoft Azure

Requirements

  • Have 5+ years of backend engineering experience building production systems in Python.
  • Have production experience with SQL and PostgreSQL for storing and querying large datasets.
  • Have experience building pipelines that ingest, clean, and normalize messy or unstructured data.
  • Have hands-on experience deploying and running backend services on AWS, GCP, or Azure.
  • Have experience reviewing code and owning architectural decisions on a shared codebase.
  • Have English proficiency 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, using OpenAI, Anthropic, LangChain, or similar.
  • Nice to have: web scraping at scale with Scrapy, Playwright, or similar frameworks.
  • Nice to have: experience with RAG pipelines and hands-on use of Terraform, FastAPI, or Snowflake.
  • Nice to have: exposure to healthcare payer policy data, medical coding (CPT, ICD-10), or prior authorization.

Responsibilities

  • Build and scale the platform used to develop scrapers that collect policy data from 100+ payers.
  • Improve scraper reliability and throughput while maintaining data accuracy.
  • Own the scraper pipeline from ingestion through storage.
  • Build LLM workflows that convert unstructured policy text into structured, searchable records.
  • Infer and tag related medical codes, including CPT and ICD-10, from policy language.
  • Classify procedure coverage status by payer.
  • Build evaluation and testing harnesses to measure and track output accuracy.
  • Build and maintain CI/CD pipelines for testing and deploying scraper jobs; monitor failures, diagnose root causes, and ship fixes.
  • Review pull requests, document architectural decisions, and design and maintain APIs serving normalized policy data to customers.
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