4 days ago
Remote, Italy +5 moreSenior
Responsibilities
- Own end-to-end extraction workflows across complex websites and deliver complete, accurate structured datasets.
- Use custom workflows and available tools to collect, validate, and process data efficiently.
- Adapt scraping approaches for JavaScript-rendered content, interactive sources, and changing site behavior.
- Apply validation, cross-source consistency checks, formatting controls, and systematic verification before delivery.
- Scale scraping for large datasets through batching or parallelization, monitor failures, and maintain stability against site changes.
Requirements
- At least 5 years of relevant experience in data engineering, web scraping, automation, or software development.
- Strong Python web scraping experience with tools such as BeautifulSoup and Selenium, including dynamic content and APIs via proxies.
- Ability to extract data from complex structures such as hierarchies, archived pages, and inconsistent HTML.
- Experience with data cleaning, normalization, validation, and structured datasets including CSV, JSON, and Google Sheets.
- Experience handling anti-bot mechanisms and dynamic site structures at scale.
- Experience with AWS or equivalent cloud infrastructure and Docker containerization.
- Hands-on experience with LangChain, OpenRouter, or similar LLM frameworks for automation tasks.
- Upper-intermediate English proficiency at B2 level or above.
- A bachelor’s or master’s degree in engineering, applied mathematics, computer science, or a related technical field is a plus; a GitHub link is also a plus.
Benefits
- Remote, part-time freelance opportunity.
- Estimated workload of approximately 10–20 hours per week during active project phases, with no guaranteed workload.
- Compensation of up to $40 per hour equivalent, depending on contribution level and pace.
Tech Stack
Categories
Data Engineering
