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Web Scraping Engineer (Remote)

OxylabsCały światCały świat

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano28 września 2026
Wykryte przez nas
Wykryte przez nas29 września 2026
Zarobki
Zarobki21 000 - 33 000 PLN

Oxylabs is looking for a skilled Web Scraping Engineer to join the Web Intelligence team, which focuses on delivering large-scale, custom datasets for diverse clients. In this role, you will take ownership of end-to-end scraping projects, building high-scale crawlers and parsers in a fast-paced environment where speed and efficiency are prioritized.

Key responsibilities

  • Design and build high-scale crawlers, scrapers, and infrastructure capable of handling millions of requests.
  • Take full ownership of projects from initial client requirements to final delivery without needing detailed specifications.
  • Write functional, reusable code in Python or Go while leveraging AI-driven IDEs to maximize development output.
  • Collaborate within the data platform to ensure the seamless building and delivery of large-scale datasets.
  • Justify technical decisions and participate in code reviews to maintain high-quality solutions.

Requirements

  • Multiple years of backend development experience using Python or Go, or deep expertise in web scraping.
  • Strong familiarity with web scraping fundamentals, including parsing, headless browsers, and databases like PostgreSQL or BigQuery.
  • High level of independence and a business-first mentality that values rapid delivery over absolute perfection.
  • Hands-on experience and comfort using AI-driven development tools such as Cursor or Claude Code.
  • Ability to thrive in a fast-paced environment and handle direct feedback constructively.

What we offer

  • Opportunity to work on large-scale data projects using a modern tech stack including Python, Go, and Google Cloud.
  • Exposure to advanced scraping tools like Playwright and Camoufox in a professional, remote-first environment.
  • A culture that encourages technical autonomy and the use of cutting-edge AI development tools.
  • Collaboration with a team focused on data engineering and high-impact web intelligence solutions.

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