Senior Backend Engineer
New
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) for daily video calls and technical discussions with US-based founders
- Experience
- 5+ years of backend engineering experience
- Required Skills
- AWSPostgreSQLPythonSQLGCPSnowflakeAzureCI/CD
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.
- LLM-based extraction or classification experience with evaluation harnesses, using OpenAI, Anthropic, LangChain, or similar, is a plus.
- Experience with web scraping at scale using Scrapy, Playwright, or similar frameworks is a plus.
- Experience with RAG pipelines is a plus.
- Hands-on use of Terraform, FastAPI, or Snowflake is a plus.
- Exposure to healthcare payer policy data, medical coding (CPT, ICD-10), or prior authorization is a plus.
Responsibilities
- Build and scale the platform used to develop scrapers that collect policy data from more than 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 CPT and ICD-10 medical codes from policy language.
- Classify procedure coverage status by payer and build evaluation and testing harnesses to track output accuracy.
- 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.
- Design and maintain APIs serving normalized policy data, support the Snowflake-based customer data product, and join occasional customer calls.
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