Web Scraping Engineer II

YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B.

We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments, and more. Our on-demand insights team uses proprietary technology to identify, license, clean, and analyze the data many of the world’s largest investment funds and corporations depend on.

For three years and counting, we have been recognized as one of Inc’s Best Workplaces. We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. Our offices are located in NYC, Austin, Miami, Denver, Mountain View, Seattle, Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore. We cultivate a people-centric culture focused on mastery, ownership, and transparency.

• High Impact: Your work will directly influence key reports and strategic decisions across multiple business units.
• Exciting Challenges: Tackle the design of resilient web scrapers, navigate dynamic website structures, and optimize large-scale data extraction.
• Growth Opportunities: As an early member of our expanding Web Scraping Engineering team, you will have significant input on our strategies, processes, and team culture.

We are seeking a Web Scraping Engineer to join our growing engineering team. In this hands-on role, you’ll take ownership of designing, building, and maintaining robust web scrapers that power critical reports and customer experiences across our organization. You will work on complex, high-impact scraping challenges and collaborate closely with cross-functional teams to ensure our data ingestion processes are resilient, efficient, and scalable, while delivering high-quality data to our products and stakeholders.

Refactor and Maintain Web Scrapers

• Overhaul existing scraping scripts to improve reliability, maintainability, and efficiency.
• Implement best coding practices (clean code, modular architecture, code reviews, etc.) to ensure quality and sustainability.

Implement Advanced Scraping Techniques

• Utilize sophisticated fingerprinting methods (cookies, headers, user-agent rotation, proxies) to avoid detection and blocking.
• Handle dynamic content, navigate complex DOM structures, and manage session/cookie lifecycles effectively.

Collaborate with Cross-Functional Teams

• Work closely with analysts and other stakeholders to gather requirements, align on targets, and ensure data quality.
• Provide support, documentation, and best practices to internal stakeholders to ensure effective use of our web scraped data in critical reporting workflows.

Monitor and Troubleshoot

• Develop robust monitoring solutions, alerting frameworks  to quickly identify and address failures.
• Continuously evaluate scraper performance, proactively diagnosing bottlenecks and scaling issues.

Drive Continuous Improvement

• Propose new tooling, methodologies, and technologies to enhance our scraping capabilities and processes.
• Stay up to date with industry trends, evolving bot-detection tactics, and novel approaches to web data extraction.

• Effective communication in English with both technical and non-technical stakeholders.
• 3+ years of experience with web scraping frameworks (e.g., Selenium, Playwright, or Puppeteer).
• Strong understanding of HTTP, RESTful APIs, HTML parsing, browser rendering, and TLS/SSL mechanics.
• Expertise in advanced fingerprinting and evasion strategies (e.g., browser fingerprint spoofing, request signature manipulation).
• Deep experience managing cookies, headers, session states, and proxy rotations, including the deployment of both residential and data center proxies.
• Experience with logging, metrics, and alerting to ensure high availability.
• Troubleshooting skills to optimize scraper performance for efficiency, reliability, and scalability.