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Web Data Scraping Jobs in California (NOW HIRING)

Astrana Health, Inc.

Sr. Software Engineer

Monterey Park, CA ยท Hybrid

$180K - $210K/yr

Experience in some of the following: full-stack web application development, developing and designing large software systems, web scraping and other automation scripting, ETL and data pipelines, data ...

Astrana Health, Inc.

Sr. Software Engineer

Monterey Park, CA ยท On-site

$180K - $210K/yr

Experience in some of the following: full-stack web application development, developing and designing large software systems, web scraping and other automation scripting, ETL and data pipelines, data ...

Astrana Health

Sr. Software Engineer

Monterey Park, CA ยท Hybrid

$180K - $210K/yr

Experience in some of the following: full-stack web application development, developing and designing large software systems, web scraping and other automation scripting, ETL and data pipelines, data ...

Sim

Founding GTM Engineer

San Francisco, CA ยท On-site

$120K - $200K/yr

Engineer data flows: Architect the middleware and webhooks that ensure data integrity and sync ... scraping/indexing the web, etc.) * High bias toward action and "shipping v1 today"-you thrive in ...

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All JobsWeb Data Scraping JobsWeb Data Scraping Jobs in California

Web Data Scraping information

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$10

$31

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How much do web data scraping jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for web data scraping in California is $31.86, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $41.19 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a web data scraping specialist?

To thrive as a Web Data Scraping Specialist, you need strong programming skills (especially in Python), knowledge of web protocols, and familiarity with HTML, CSS, and JavaScript. Experience with tools like BeautifulSoup, Scrapy, Selenium, and understanding of APIs and data storage solutions are typically required. Problem-solving, attention to detail, and persistence are crucial soft skills for overcoming challenges like anti-scraping measures and complex site structures. These competencies ensure efficient, reliable extraction of valuable data while maintaining compliance and accuracy.

What is web data scraping?

Web data scraping is the process of automatically extracting information from websites using software tools or scripts. This technique allows users to collect large amounts of structured data from web pages, which can then be analyzed or used for various purposes such as market research, price monitoring, or content aggregation. Web data scraping is commonly used in industries that rely on real-time information and competitive analysis. However, it is important to respect website terms of service and copyright laws when scraping data.

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

AspectWeb Data ScrapingData Analyst
Primary RoleExtracting data from websites automaticallyInterpreting and analyzing data to inform business decisions
Skills RequiredProgramming, web technologies, data extraction toolsStatistical analysis, data visualization, Excel, SQL
Work EnvironmentTechnical, often in IT or data teamsBusiness, finance, marketing departments
Tools & TechnologiesPython, BeautifulSoup, ScrapyExcel, Tableau, R, SQL

Web Data Scraping focuses on automatically collecting data from websites using programming tools, while Data Analysts interpret and analyze data to support business strategies. Both roles require data handling skills but differ in technical focus and end goals.

What are some common challenges faced in a web data scraping role and how can they be addressed?

One common challenge in web data scraping is dealing with websites that use anti-bot measures, such as CAPTCHAs and frequent layout changes. Adapting to these obstacles often requires creative problem-solving, such as implementing rotating proxies or using headless browsers to mimic human behavior. Additionally, maintaining data accuracy and handling large volumes of unstructured data are ongoing tasks, making strong organizational and scripting skills essential. Collaborating with data analysts and developers is also key to ensuring the scraped data meets project needs and quality standards.

What are the most commonly searched types of Web Data Scraping jobs in California?

The most popular types of Web Data Scraping jobs in California are:

What are popular job titles related to Web Data Scraping jobs in California?

For Web Data Scraping jobs in California, the most frequently searched job titles are:

What job categories do people searching Web Data Scraping jobs in California look for?

The top searched job categories for Web Data Scraping jobs in California are:

Web Data Scraping jobs near you
Infographic showing various Web Data Scraping job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $66,265 per year, or $31.9 per hour.

Senior Business Analyst

Waterfall Technology Consulting Partners

San Diego, CA โ€ข Remote

$98K - $126K/yr

Full-time

Posted 20 days ago

Job description

We are partnered with a wonderful organization that is seeking a Senior System Business Analyst with strong experience in hospital Revenue Cycle operations and a passion for leveraging data, automation, and AI-driven solutions. This role will serve as a key bridge between business stakeholders and technical teams, driving process improvements, system enhancements, and advanced analytics across revenue cycle functions.

The ideal candidate combines strong analytical skills, technical proficiency, and a deep understanding of healthcare financial workflows to identify opportunities for automation, reporting optimization, and operational efficiency.

๏ปฟThis is a remote 2-year contract that is salaried only. Must work West Coast business hours.

What will I be doing?

  • Partner with Revenue Cycle stakeholders to gather, analyze, and document business and technical requirements
  • Evaluate current-state workflows and identify opportunities for automation, integration, and process improvement
  • Design and implement solutions leveraging Microsoft Power Platform and reporting tools
  • Develop dashboards, reports, and data models to support operational and leadership decision-making
  • Collaborate with IT and development teams to translate business needs into functional and technical solutions
  • Create detailed process documentation, functional design documents, and user stories
  • Conduct system and workflow analysis to recommend scalable and sustainable improvements
  • Support testing, validation, and implementation of new solutions and enhancements

What requirements do I need?

Healthcare / Revenue Cycle:

  • Strong knowledge of hospital Revenue Cycle operations, including patient access, billing, claims, and collections workflows
  • Experience working with healthcare financial data and reporting

Power Platform & AI:

  • Minimum 3 years' experience building, training, and deploying AI-powered solutions within Microsoft Power Platform, including tools such as AI Builder and Copilot Studio

Power Automate:

  • Minimum 3 years' experience and expertise in developing complex Desktop and Cloud flows
  • Experience utilizing:
    • SQL database connectors
    • Machine runtimes
    • Web scraping techniques

Power BI:

  • Minimum 3 years of experience developing interactive dashboards and reports, including:
    • Power Query transformations
    • Custom DAX measures
    • Advanced conditional formatting

MS SQL:

  • Intermediate proficiency in:
    • Writing SQL queries
    • Joining multiple tables
    • Filtering and manipulating data to support reporting and automation
  • Epic SQL 1 and SQL 2 Self-Study preferred

Python

  • Minimum 3 years' experience in developing and managing Python scripts.

Microsoft Excel:

  • Advanced proficiency, including:
    • Writing macros (VBA)
    • Managing complex data models

Requirements & Documentation:

  • 5+ years of experience gathering technical requirements from stakeholders
  • 5+ years of experience creating workflow documentation, including:
    • Process maps
    • Functional design documents
    • User stories
    • Prepare high-level requirement documentation (HLD) and software requirement specifications (SRS)
    • Create testing plan and script
    • Conduct User Acceptance Testing (UAT)

System Analysis:

  • 5+ years of experience analyzing operational workflows and recommending integration and automation solutions

Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

If you have the skills required for this role, we want to speak to you.

Apply today!

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