4 days ago
Remote, United States or Oklahoma City, OK, USASenior
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 site changes.
- Apply validation, cross-source consistency checks, formatting controls, and systematic verification to ensure data quality.
- Scale scraping operations through batching or parallelization, monitor failures, and maintain stability against minor site structure 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, 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 delivery in structured formats such as CSV, JSON, and Google Sheets.
- 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 tools for automation.
- English proficiency at Upper-intermediate (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, part-time freelance work.
- Estimated workload of approximately 10–20 hours per week during active project phases; workload is not guaranteed.
- Compensation is described as up to $45 per hour equivalent, depending on level and contribution pace.
Tech Stack
Categories
Data Engineering
