Web Scraping Specialist (Senior) ID30242

• What you will do

• Web Scraping & Data Extraction: design, develop, and optimize web scraping strategies for large-scale data extraction from dynamic websites; identify and assess relevant data sources, ensuring alignment with business objectives; implement automated web scraping solutions using Python and libraries like Scrapy, BeautifulSoup, and Selenium; build resilient and adaptable scrapers that can handle website structure changes, rate limits, and anti-scraping measures;
• Data Processing & Integration: cleanse, validate, and transform extracted data to ensure accuracy, consistency, and usability; store and manage large volumes of scraped data using best-in-class storage solutions; develop ETL pipelines to integrate scraped data into data warehouses and analytics platforms; collaborate with cross-functional teams, including data scientists and engineers, to make scraped data actionable.
• Web Scraping & Optimization: optimize scraping procedures to improve efficiency, reliability, and scalability across multiple data sources; implement solutions for bypassing CAPTCHAs, rotating user agents, and managing proxy services; continuously monitor, troubleshoot, and maintain scraping scripts to minimize disruptions due to site changes.
• Compliance & Documentation: stay up to date with legal, ethical, and compliance considerations related to web scraping and data collection; ensure data collection processes align with best practices and regulatory requirements; maintain clear and detailed documentation of scraping methodologies, data pipelines, and best practices.

• Must haves

• 5+ years of hands-on experience in web scraping, data extraction, and integration;
• Strong proficiency in Python and web scraping frameworks (Scrapy, BeautifulSoup, Selenium);
• Expertise in handling dynamic content, browser fingerprinting, and bypassing anti-bot mechanisms (e.g., CAPTCHAs, rate limits, proxy rotation);
• Deep understanding of HTML, CSS, XPath, and JavaScript-rendered content;
• Experience working with large-scale data storage solutions and optimizing retrieval performance;
• Strong grasp of ETL processes, data pipelines, and data warehousing;
• Familiarity with APIs for data extraction and integration from public and restricted sources;
• Strong problem-solving skills with an ability to debug and adapt to changing web structures;
• Solid understanding of web scraping ethics, legal implications, and compliance guidelines;
• Upper-Intermediate English level.

• Nice to Haves

• Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field;
• Experience with cloud-based distributed scraping systems (AWS, GCP, Azure);
• Knowledge of big data frameworks and experience handling high-volume datasets within Snowflake;
• Familiarity with machine learning techniques for data extraction and natural language processing (NLP);
• Experience working with JSON, XML, CSV, and other structured data formats;
• Proficiency with version control systems (Git).

AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions.

If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment every day, there’s no better place — guaranteed! 🙂