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.
Expertise in data scraping and extraction from complex web structures, utilizing tools like Python, BeautifulSoup, and Selenium. Proven ability to ensure data quality and accuracy while managing large datasets and adapting to dynamic site behaviors.
Highest-signal resume keywords
Python Web ScrapingData Extraction WorkflowsData Cleaning and ValidationCloud Infrastructure (AWS)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 ScrapingBeautifulSoupSeleniumJavaScript RenderingData NormalizationAPIs via ProxiesData Structuring (CSV, JSON, Google Sheets)Anti-Bot MechanismsContainerization (Docker)Data Quality Assurance
Soft Skills
Attention to DetailSelf-Directed Work EthicTroubleshooting
Tools & Technologies
ApifyOpenRouterAWSDockerGitHub
Industry Keywords
Data EngineeringWeb ScrapingAutomationSoftware DevelopmentDynamic Content
Tech Stack
Tools & technologiesAWSCloudDockerJavaScriptPythonSelenium
About the role
Key responsibilities & impact- Handle end-to-end data scraping tasks for the Tendem project
- Own data extraction workflows across complex websites
- Use tools such as Apify, OpenRouter, and other technologies to collect and process data
- Accelerate data collection, validation, and task execution using available tools and custom workflows
- Extract data from dynamic and interactive web sources, including JavaScript-rendered content
- Adapt scraping approaches to changing site behavior and site structures
- Enforce data quality through validation checks, cross-source consistency controls, formatting adherence, and systematic verification
- Scale scraping operations for large datasets using efficient batching or parallelization
- Monitor failures and maintain stability against minor site structure changes
- Deliver accurate, reliable, high-quality structured datasets
Requirements
What you’ll need- At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development
- 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, delivering structured datasets in CSV, JSON, or Google Sheets
- Demonstrated 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, OpenRouter, or similar applied to automation tasks
- Strong attention to detail and commitment to data accuracy
- Self-directed work ethic with ability to troubleshoot independently
- English proficiency: Upper-intermediate (B2) or above
- Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus
- A link to GitHub is a plus
Benefits
Comp & perks- Freelance opportunity
- Part-time remote work
- Estimated 10–20 hours per week during active phases
- Compensation of up to $25 per hour equivalent, depending on level and pace of contribution