Python Developer; Web Scraping & Data Extraction

Are you interested in working with the World’s leading AI-powered Quality Engineering Company? Ready to advance your career, team up with global thought leaders across industries and make a difference every day? Join us at QualityAI!

We are looking for a Python Developer (Web Scraping & Data Extraction) to join our growing team in United States

Location:

US/CAN/ARG/MEX

Were looking for an experienced Python developer who is strong in web scraping and data extraction to join our data engineering team. Youll build and maintain reliable, scalable pipelines that collect data from websites, APIs, and other online sources. This data feeds analytics, research, and decision-making across our business.

This role suits someone who has outgrown writing one-off scripts. You like building resilient, well-tested systems and take pride in data quality. Experience in finance, fintech, or investments is a real advantage, since much of our data supports market, investment, and financial analysis.

• Design, develop, and maintain scalable web scraping and crawling solutions in Python
• Extract data from static pages, JavaScript-heavy sites, and REST/GraphQL APIs
• Build robust pipelines that handle anti-bot measures, rate limits, CAPTCHAs, dynamic content, and site structure changes
• Clean, validate, normalize, and transform raw data into analysis-ready datasets
• Monitor scraper health, set up alerting, and quickly fix breakages to keep data fresh and accurate
• Optimize scrapers for speed, reliability, and cost, including proxy management and concurrency
• Store and manage data in relational and non-relational databases and cloud storage
• Write clean, tested, well-documented code and take part in code reviews
• Work with analysts, data scientists, and business stakeholders to turn data needs into technical solutions
• Ensure scraping practices comply with terms of service, robots.txt, and data privacy regulations
• Mentor junior developers and help set team standards for scraping and data quality

• 5-8 years of professional Python development experience, including at least 3 years focused on web scraping or data extraction
• Strong hands-on experience with Scrapy, Beautiful Soup, Requests/HTTPX, and Selenium, Playwright, or Puppeteer
• Experience with asynchronous and concurrent programming (asyncio, multithreading, multiprocessing)
• Solid understanding of HTTP, HTML/CSS, DOM structure, XPath/CSS selectors, cookies, sessions, and authentication flows
• Experience with proxies, user-agent rotation, headless browsers, and techniques for avoiding detection
• Proficiency in data processing with Pandas, Num Py, and regular expressions
• Working knowledge of SQL and at least one No
  
  SQL database (e.g., PostgreSQL, MongoDB)
• Experience building and scheduling data pipelines (e.g., Airflow, Prefect, or cron-based orchestration)
• Familiarity with Git, CI/CD, Docker, and automated testing (pytest)
• Experience with a cloud platform (AWS, Azure, or GCP)
• Strong debugging and problem-solving skills, and clear written and verbal communication
• Bachelors degree in Computer Science, Engineering, Mathematics, Finance, or a related field (or equivalent experience)

• Background in financial services, fintech, asset management, or investment research
• Experience collecting and structuring data such as market prices, company filings (SEC/EDGAR), earnings reports, news, ESG data, alternative data, or fund and security reference data
• Familiarity with financial concepts such as equities, fixed income, funds, portfolios, and risk and return metrics
• Understanding of data quality, lineage, and audit requirements in regulated environments
• Awareness of financial data licensing,…