Remote Senior Software Engineer: External Integrations & Data

TLNT Bridge Recruiting

United States

Remote

USD 79.000 - 107.000

Vollzeit

Vor 10 Tagen

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

TLNT Bridge Recruiting is seeking a Senior Software Engineer to design and maintain external integrations and data pipelines. You will build systems that interact with non-traditional data sources, including websites and documents, focusing on reliability, scalability, and maintainable code.

The role covers web scraping, reverse engineering, and browser automation to extract and normalize messy data into clean, structured datasets for AI-powered applications.

Qualifikationen

  • Production-grade integrations experience
  • Experience with web scraping or reverse engineering
  • Experience building integrations with third-party platforms lacking robust APIs
  • Strong Python/TypeScript/JavaScript skills

Aufgaben

  • Build integrations without traditional APIs: interact with external websites and services when APIs are unavailable
  • Develop data acquisition pipelines from diverse external sources
  • Reverse engineer external systems to understand undocumented interfaces
  • Build scraping and automation tools using browser automation and headless browsers
  • Clean and normalize messy data into clean, standardized formats
  • Build resilient systems that handle layout changes and rate limits
  • Leverage AI for data processing to extract, classify, and structure data
  • Improve reliability with monitoring, retries, and testing
  • Collaborate with engineering and product to deliver maintainable solutions

Kenntnisse

Web scraping
Reverse engineering
APIs integration
Python
TypeScript/JavaScript
HTTP/REST
Data pipelines
Debugging
Collaborative skills

Tools

Browser automation
Headless browsers
HTTP clients

Jobbeschreibung

TLNT Bridge Recruiting is seeking a Senior Software Engineer to design and maintain external integrations and data pipelines. You will build systems that interact with non-traditional data sources, including websites and documents, focusing on reliability, scalability, and maintainable code.

The role covers web scraping, reverse engineering, and browser automation to extract and normalize messy data into clean, structured datasets for AI-powered applications.

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