4 days ago
Remote, Uruguay or San José, Costa RicaSenior
Responsibilities
- Own end-to-end data extraction workflows across complex websites and deliver complete, accurate, structured datasets.
- Use custom workflows and tools to accelerate data collection, validation, and task execution.
- Extract data from dynamic and interactive websites, including JavaScript-rendered content, AJAX, infinite scroll, and changing site structures.
- Apply validation, cross-source consistency checks, formatting controls, and systematic verification to maintain data quality.
- Scale scraping operations through batching or parallelization, monitor failures, and maintain stability against site changes.
- Handle anti-bot mechanisms and use cloud infrastructure, containerization, and LLM frameworks in automation workflows.
Requirements
- At least 5 years of relevant experience in data engineering, web scraping, automation, or software development.
- Strong Python web-scraping experience with BeautifulSoup, Selenium or similar tools, dynamic content, and APIs via proxies.
- Experience extracting data from complex structures such as hierarchies, archived pages, and inconsistent HTML.
- Experience with data cleaning, normalization, validation, and delivery in CSV, JSON, or 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 applied to automation.
- Strong attention to detail, independent troubleshooting ability, and a self-directed work ethic.
- 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 freelance opportunity based in Uruguay.
- Part-time project with an estimated workload of 10–20 hours per week during active phases; workload is not guaranteed and applies only while the project is active.
Tech Stack
Categories
Data Engineering
