Senior Backend Engineer

Catena

. Build and scale the platform used to develop scrapers collecting policy data from over 100 payers .

Posted 10/16/2026full-timeRemote • Dominican Republic, Mexico, Colombia, Argentina, Peru, VenezuelaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in backend engineering with a focus on building and scaling data scrapers, managing data pipelines, and ensuring data accuracy. Proficient in deploying services on cloud platforms and utilizing LLM workflows for data extraction and classification.

Highest-signal resume keywords

Backend Engineering ExperiencePython ProgrammingWeb Scraping with ScrapyLLM-Based ExtractionSQL and PostgreSQL

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Applicant Tracking System Keywords

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Hard Skills

Python ProgrammingSQLPostgreSQLWeb ScrapingData Pipeline DevelopmentLLM WorkflowsTerraformFastAPICI/CD PipelinesData Normalization

Soft Skills

Technical LeadershipCommunicationProblem-Solving

Tools & Technologies

AWSGCPAzureScrapyPlaywrightSnowflakeLangChain

Industry Keywords

Healthcare Payer Policy DataMedical CodingCPTICD-10Prior Authorization

Tech Stack

Tools & technologies

AWSAzureGoogle Cloud PlatformPostgresPythonSQLTerraform

About the role

Key responsibilities & impact

Build and scale the platform used to develop scrapers collecting policy data from over 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 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 to customers
Support the Snowflake-based data product
Join occasional customer calls to understand feature requirements
Serve as technical lead for part-time and offshore engineers without directly managing people

Requirements

What you’ll need

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
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

Comp & perks

Competitive salary based on experience and skills
Fully remote work
Team incentives for maintaining 100% CRM hygiene and on-time reporting
Generous PTO in accordance with company policy
HMO coverage after 3 months for full-time PH-based employees
Direct mentorship from international industry experts
Ongoing learning and development resources
Global networking opportunities