Remote Senior Data Scraping Engineer
About the Role
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Scraping Engineer - REMOTE. In this role, you will drive specialized data scraping workflows within a hybrid AI + human system, collaborating closely with agents who manage repetitive tasks. Your critical thinking and domain expertise will ensure the delivery of accurate and actionable results. This remote opportunity is ideal for technical professionals experienced in web scraping and data processing. Join us to unlock the potential of Generative AI by utilizing real-world expertise from across the globe. Accountabilities Own end-to-end data extraction workflows across complex websites, ensuring accuracy and reliable delivery of datasets. Leverage internal tools (Apify, OpenRouter) alongside custom workflows to enhance data collection. Ensure reliable extraction from dynamic web sources, adapting to changing site behavior. Enforce data quality standards through validation checks and systematic verification before delivery. Scale scraping operations efficiently for large datasets while maintaining stability. Requirements At least 3 years of relevant experience in data engineering, web scraping, automation, or software development. Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related fields is a plus. Strong experience in Python web scraping, including dynamic content and APIs via proxies. Proven ability to extract data from complex structures and clean datasets. Hands‑on experience with LLMs and AI frameworks for enhancing automation. Strong attention to detail with a commitment to data accuracy. Self‑directed work ethic with troubleshooting skills. Portfolio or link to GitHub is a plus. English proficiency: Upper‑intermediate (B2) or above. Benefits Work fully remote on your schedule with just a laptop and stable internet. Gain hands‑on experience in a hybrid environment combining human expertise and AI. Participate in performance‑based bonus programs for high‑quality work. #J-18808-Ljbffr
Responsibilities
- Own end-to-end data extraction workflows across complex websites, ensuring accuracy and reliable delivery of datasets.
- Scale scraping operations efficiently for large datasets while maintaining stability.
- Enforce data quality standards through validation checks and systematic verification before delivery.
Qualifications
- Minimum 3 years in data engineering, web scraping, automation, or software development.
- Bachelor's or Master's in Engineering, Applied Mathematics, Computer Science or related field (plus).
- Strong experience in Python web scraping with dynamic content and APIs via proxies
Required Skills
Keywords
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