4 days ago
Remote, Poland +6 moreSenior
Responsibilities
- Own end-to-end data extraction workflows across complex websites and deliver accurate, structured datasets.
- Use custom workflows and available tools to collect, validate, and process data efficiently.
- Extract data from dynamic and interactive sources, including JavaScript-rendered pages, AJAX content, and infinite scroll.
- Apply data-quality checks, cross-source consistency controls, formatting standards, and systematic verification.
- Scale scraping operations through batching or parallelization, monitor failures, and maintain stability against site changes.
- Handle anti-bot mechanisms and dynamic site structures while troubleshooting independently.
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, including 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 structured formats including CSV, JSON, and Google Sheets.
- Experience with AWS or equivalent cloud infrastructure and Docker containerization.
- Hands-on experience with LLM frameworks such as LangChain or OpenRouter for automation tasks.
- Strong attention to detail, data accuracy, independent troubleshooting ability, and a self-directed work style.
- English proficiency at Upper-intermediate (B2) level or above is required.
- 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, part-time freelance work.
- Estimated workload of 10–20 hours per week during active project phases, with no guaranteed workload.
- Compensation of up to $40 per hour equivalent, depending on level and pace of contribution.
Tech Stack
Categories
Data Engineering
