4 days ago
Remote, Argentina +6 moreSenior
Responsibilities
- Own end-to-end data extraction workflows across complex websites and deliver accurate, structured datasets.
- Use custom workflows and tools to accelerate data collection, validation, and task execution.
- Extract data from dynamic and interactive sources, including JavaScript-rendered content, while adapting to changing site behavior.
- Apply data-quality checks, cross-source consistency controls, formatting requirements, and systematic verification.
- Scale scraping operations through efficient 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 BeautifulSoup, Selenium or similar tools, 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 delivery of CSV, JSON, or Google Sheets datasets.
- Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.
- Experience with AWS or equivalent cloud infrastructure and Docker in real workflows.
- Hands-on experience with LLM frameworks such as LangChain, OpenRouter, or similar applied to automation.
- 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 a plus.
Benefits
- Remote freelance engagement based in Buenos Aires, Argentina.
- Part-time project with an estimated 10–20 hours per week during active phases, with no guaranteed workload.
- Compensation of up to $25 per hour equivalent, depending on level and pace of contribution.
Tech Stack
Categories
Data Engineering
