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Oxylabs, part of Source.ai, is seeking a Web Scraping Engineer to design and build high-scale crawlers and parsers using Python or Go. You will own projects from client requirements to delivery, leveraging AI-assisted development and a data platform to produce large datasets.
You will work in a fast-paced environment, collaborating with the Web Intelligence team to ensure quality solutions and rapid delivery while maintaining a strong business-first mindset.
Oxylabs is an enterprise-grade web data infrastructure, purpose-built for organizations operating at global scale. It helped define what public web data access could look like and still sets the standard others build against.
That same ambition runs through the culture: engineers take ownership of problems no one else has solved and push each other to raise the bar.
The Web Intelligence team is responsible for building and delivering large-scale, custom datasets for clients who need end-to-end scraping solutions. As a Web Scraping Engineer, you will jump right into building high-scale crawlers and parsers, bringing strong Python or Go skills to our primarily data engineering-focused group. With a rapidly growing influx of project-based requests, we need someone who can take immediate ownership and leverage AI tools to build solutions from scratch. Your main challenge will be navigating a fast-paced environment where speed and delivery are prioritized over absolute perfection.
Oxylabs is part of Source, a data ecosystem for a world built on intelligence. One of five independent technology companies connected by shared standards, expertise, and a belief in responsible access to web data.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.