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Manager Web Scraping Jobs in Seattle, WA (NOW HIRING)

3B Staffing LLC

Python Automation Developer

Everett, WA · On-site

$55.50 - $76.50/hr

Web Scraping and HTTP: Beautiful Soup; Scrapy Must Have: * 3-4 Years of Experience in developing ... Collaborate with product managers and clients; present technical solutions, manage expectations ...

3B Staffing LLC

Python Automation Developer

Everett, WA · On-site

$55.50 - $76.50/hr

Web Scraping and HTTP: Beautiful Soup; Scrapy Must Have: * 3-4 Years of Experience in developing ... Collaborate with product managers and clients; present technical solutions, manage expectations ...

3B Staffing LLC

Python Automation Developer

Renton, WA · On-site

$56.75 - $78.25/hr

Web Scraping and HTTP: Beautiful Soup; Scrapy Must Have: * 3-4 Years of Experience in developing ... Collaborate with product managers and clients; present technical solutions, manage expectations ...

3B Staffing LLC

Python Automation Developer

Renton, WA · On-site

$56.75 - $78.25/hr

Web Scraping and HTTP: Beautiful Soup; Scrapy Must Have: * 3-4 Years of Experience in developing ... Collaborate with product managers and clients; present technical solutions, manage expectations ...

Unum UK

Data Scientist I

Home, WA · On-site

Efficiently interpret results and communicate findings and potential value to manager. Support ... Exposure to data mining and web scraping. * Data Visualization: Working knowledge of two or more ...

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Manager Web Scraping information

See Seattle, WA salary details

$44.4K

$92K

$163.9K

How much do manager web scraping jobs pay per year?

As of Sep 4, 2026, the average yearly pay for manager web scraping in Seattle, WA is $92,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $107,500.00 per year, depending on experience, location, and employer.

What is a Manager Web Scraping?

A Manager Web Scraping is a professional responsible for overseeing teams and projects that extract data from websites using automated tools and scripts. They coordinate the development and maintenance of web scraping systems, ensure data quality, and handle technical challenges like site changes or anti-scraping measures. This role also involves managing compliance with legal and ethical standards related to web data extraction, as well as collaborating with data analysts and engineers to deliver actionable insights for the organization.

What are the key skills and qualifications needed to thrive as a Manager Web Scraping, and why are they important?

To thrive as a Manager Web Scraping, you need advanced programming skills (Python, JavaScript), a strong understanding of data extraction techniques, and experience managing data engineering projects, often supported by a computer science degree or equivalent experience. Familiarity with web scraping frameworks (like Scrapy or BeautifulSoup), headless browsers, APIs, and cloud-based solutions is essential, along with knowledge of relevant legal and ethical guidelines. Strong leadership, problem-solving abilities, and effective communication skills help in coordinating teams and addressing complex data challenges. These competencies are vital for ensuring efficient, scalable, and compliant data collection processes that drive business insights.

What are some common challenges faced by a Manager Web Scraping, and how can they be addressed?

A Manager Web Scraping often encounters challenges such as dealing with frequent website structure changes, managing large-scale data extraction efficiently, and ensuring compliance with legal and ethical standards. Addressing these requires staying updated on web technologies, implementing robust monitoring and alerting systems, and developing adaptable scraping strategies. Additionally, fostering collaboration with legal teams and data engineers can help ensure smooth operations and minimize risks. Regular training and knowledge sharing within the team can also be invaluable for overcoming evolving technical obstacles.

What is the difference between Manager Web Scraping vs Data Analyst?

AspectManager Web ScrapingData Analyst
Primary FocusOverseeing web scraping projects, managing scraping teams, ensuring data qualityAnalyzing data sets, generating reports, interpreting data insights
Skills & CertificationsWeb scraping tools, programming (Python, SQL), project managementStatistical analysis, data visualization, Excel, SQL
Work EnvironmentTech teams, data engineering, project managementBusiness units, data teams, reporting environments
Industry UsageWeb data collection, market research, e-commerceBusiness intelligence, marketing, finance

While both roles involve working with data, the Manager Web Scraping primarily oversees the technical process of extracting data from websites, managing teams, and ensuring data quality. In contrast, a Data Analyst focuses on interpreting data, creating reports, and providing insights to support business decisions. Both roles require technical skills, but their core responsibilities and work environments differ.

What are the most commonly searched types of Web Scraping jobs in Seattle, WA?

The most popular types of Web Scraping jobs in Seattle, WA are:

Manager Web Scraping jobs near you

Python Automation Developer

3B Staffing LLC

Everett, WA • On-site

$55.50 - $76.50/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Technical Skills:

  • Core python skills covering: Variables and Data Types; Data Structures; Control Flow and Loops; Functions;
  • Input/Output (I/O) and File Handling; Exception Handling; Modules and Packages etc.
  • Libraries: Python Libraries such as NumPy; Pandas; Scikit-learn; TensorFlow and PyTorch;
  • Framework: Django ; Flask; FastAPI
  • Web Scraping and HTTP: Beautiful Soup; Scrapy

Must Have:

  • 3-4 Years of Experience in developing Automations using Python language
  • Core python skills covering: Variables and Data Types; Data Structures; Control Flow and Loops; Functions;
  • Input/Output (I/O) and File Handling; Exception Handling; Modules and Packages etc.
  • Libraries: Python Libraries such as NumPy; Pandas; Scikit-learn; TensorFlow and PyTorch;
  • Framework: Django ; Flask; FastAPI
  • Web Scraping and HTTP: Beautiful Soup; Scrapy

Good to have:

  • Background in operations research/optimization (e.g., scheduling, VM allocation).
  • Experience with AWS cloud platforms.
  • Security best practices: vulnerability scanning.
  • knowledge on automation tools like RPA Blue Prism or RPA Power Automate.

Roles & Responsibilities

  • End-to-end software development across design, implementation, testing, deployment, and maintenance.
  • Understand existing complex Python-based codebases, implement new feature, automations and maintain existing code base ensuring quality, performance, scalability, and security.
  • Write, maintain, and optimize Python scripts for data processing, system monitoring, and workflow automation
  • Maintaining/Enhancing existing CI/CD pipelines (GitLab CI, GitHub Actions, Jenkins), define branching strategies, enforce code review standards, optimize build/test/deploy workflows, and manage releases.
  • Work on Linux environment, monitoring.
  • Understand complex interfacing system and integrate with different interfaces (APIs, event-driven, batch processes, etc.).
  • Model relational databases, optimize SQL queries, and conduct performance tuning and schema evolution.
  • Communicate with User and Understand operations research/optimization methods to solve complex airline operations and crew planning problems.
  • Collaborate with product managers and clients; present technical solutions, manage expectations, and translate requirements into delivery plans.
  • Scope work, estimate effort, break down tasks, and manage sprint commitments.
  • Design and implement automated testing to ensure software quality, often using tools like PyTest or Selenium

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