Senior Web Scraping Specialist (Python)

Job Description

• This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Web Scraping Specialist (Python) in United States. This role is focused on building and maintaining advanced web data extraction systems within a hybrid AI-assisted environment. You will work on complex scraping workflows that involve dynamic, large-scale, and frequently changing web sources, ensuring high-quality structured data output. Acting as a technical expert, you will combine Python engineering skills with AI-powered tools to design efficient and resilient data pipelines. The position emphasizes problem-solving, autonomy, and strong attention to data accuracy and validation. You will collaborate with AI agents that handle repetitive tasks while you focus on architecture, logic, and quality control. This is a highly technical, remote, and flexible opportunity ideal for engineers passionate about scalable data extraction and automation.
• Accountabilities: Design, develop, and maintain end-to-end web scraping pipelines for complex and dynamic websites. Extract, structure, and validate large-scale datasets ensuring accuracy, completeness, and consistency across sources. Work with tools such as Apify and OpenRouter alongside custom Python-based solutions to optimize data collection workflows. Handle JavaScript-rendered content, APIs, and evolving site structures using robust scraping strategies. Implement data quality checks, normalization processes, and validation frameworks before delivery. Scale scraping systems using batching, parallelization, and performance optimization techniques. Monitor, debug, and adapt scraping workflows to mitigate anti-bot measures and structural website changes. Collaborate within an AI-assisted environment, guiding automated agents while ensuring output reliability and precision. Requirements: 5+ years of experience in web scraping, data engineering, automation, or software development. Strong proficiency in Python and scraping frameworks such as BeautifulSoup, Selenium, or similar tools. Experience extracting data from dynamic websites (AJAX, JavaScript-rendered pages, infinite scroll). Solid knowledge of data cleaning, transformation, normalization, and structured dataset delivery (CSV, JSON, spreadsheets). Proven ability to bypass or handle anti-bot systems and complex site architectures. Familiarity with cloud platforms (AWS or equivalent) and containerization tools such as Docker. Experience using LLM frameworks (e.g., LangChain, OpenRouter) in automation or data workflows. Strong analytical mindset with high attention to detail and data accuracy. Ability to work independently, troubleshoot effectively, and manage technical complexity. Upper-intermediate (B2+) English proficiency required; GitHub portfolio is a plus. Benefits: Competitive compensation up to $45/hour equivalent, depending on experience and contribution level Flexible part-time workload (approximately 10–20 hours per week during active project phases) Fully remote collaboration within a global AI-driven technical environment Opportunity to work on advanced AI + data engineering hybrid workflows Exposure to cutting-edge tools such as LLM frameworks and automation systems Project-based engagement with potential access to multiple future opportunities Independent work structure with high autonomy and technical ownership
• How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.
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