FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data extraction workflows, ensuring data quality and accuracy while utilizing advanced web scraping techniques and tools. Proficient in handling dynamic web content and scaling operations for large datasets in cloud environments.
Highest-signal resume keywords
Python Web ScrapingData Cleaning and ValidationCloud Infrastructure (AWS)Dynamic Content Extraction (JS, AJAX)LLM Frameworks (LangChain, OpenRouter)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Extraction WorkflowsWeb ScrapingData NormalizationData ValidationAnti-Bot Mechanisms HandlingDynamic Site StructuresBatching and ParallelizationHTML Parsing (BeautifulSoup, Selenium)APIs via ProxiesData Accuracy
Soft Skills
Attention to DetailSelf-Directed Work EthicTroubleshooting
Tools & Technologies
ApifyOpenRouterDocker
Industry Keywords
Data EngineeringAutomationSoftware DevelopmentEngineering DegreeApplied MathematicsComputer Science
Tech Stack
Tools & technologiesAWSCloudDockerJavaScriptPythonSelenium
About the role
Key responsibilities & impact- Own end-to-end data extraction workflows across complex websites
- Ensure complete coverage, accuracy, and reliable delivery of structured datasets
- Use available tools and custom workflows to accelerate data collection, validation, and task execution
- Extract data reliably from dynamic and interactive web sources, including JavaScript-rendered content
- Adapt scraping approaches to changing site behavior
- Enforce data quality through validation checks, cross-source consistency controls, formatting specifications, and systematic verification
- Scale scraping operations for large datasets using efficient batching or parallelization
- Monitor failures and maintain stability against minor site structure changes
- Use tools such as Apify, OpenRouter, and other technologies alongside technical expertise
Requirements
What you’ll need- At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required)
- Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus
- Strong experience in Python web scraping, including BeautifulSoup, Selenium or similar, dynamic content (JS, AJAX, infinite scroll), and APIs via proxies
- Proven ability to extract data from complex structures, including hierarchies, archived pages, and inconsistent HTML
- Solid background in data cleaning, normalization, and validation
- Experience handling anti-bot mechanisms and dynamic site structures at scale
- Experience with cloud infrastructure, such as AWS or equivalent, and containerization with Docker
- Hands-on experience with LLM frameworks, such as LangChain or OpenRouter, applied to automation tasks
- Strong attention to detail and commitment to data accuracy
- Self-directed work ethic and ability to troubleshoot independently
- English proficiency at Upper-intermediate (B2) or above (required)
- A link to GitHub is a plus
Benefits
Comp & perks- Freelance, part-time remote opportunity
- Estimated workload of around 10–20 hours per week during active project phases
- Compensation up to $45 per hour equivalent, depending on level and pace of contribution
- Access to innovative technology projects through the Mindrift platform
