S

Source

Global data ecosystem linking intelligence providers

Web Scraping Engineer

Backend EngineeringUpdated on Nov 6
Full-timeVilnius, Vilnius City Municipality, Lithuania€4.4k - €7k /mo

About the Job

Requirements

  • Multiple years of backend development experience with Python or Go, or strong web scraping expertise driven by AI tools.
  • Familiarity with web scraping fundamentals, parsing, headless browsers, and databases such as PostgreSQL or BigQuery.
  • Ability to work independently, align on an approach in discussion, and own delivery.
  • A business-first approach that prioritizes speed and delivery over perfection, with comfort receiving direct feedback.
  • Hands-on experience and strong comfort with AI-driven development tools such as Cursor, Claude Code, or Antigravity.

Responsibilities

  • Design and build high-scale crawlers, scrapers, and supporting infrastructure capable of handling thousands to millions of requests.
  • Take client requirements and own projects end-to-end, building custom solutions from scratch without waiting for detailed specifications.
  • Write functional, reusable code in Python or Go, using AI-driven IDEs to maximize output and efficiency.
  • Work within the data platform to enable seamless building and delivery of large datasets.
  • Use internal scraping tools or build new ones as priorities and client routes change.
  • Justify technical decisions, perform code reviews, and collaborate with the team to ensure quality solutions.

Desired Qualifications

  • Experience in data engineering, including ETL/ELT pipelines, Spark, Airflow, or Dagster.

About the Company

Source

Global data ecosystem linking intelligence providers

The company operates as a data ecosystem that connects several independent tech firms—Oxylabs, Decodo, Webshare, ScrapingBee, Honeygain, and upcoming ventures—under shared standards, strategic support, and a commitment to responsible access to data. Each member company runs its own team and product, but they collaborate through common intelligence and scale to serve a wider market. Their approach is to provide a networked set of data tools and services that collectively enable customers to access and use data more efficiently. The goal is to empower the next generation of data-powered products and decisions by offering interoperable capabilities and scalable data access while maintaining clear accountability for data use.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
2012

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