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Data Scraping Remote Jobs in California (NOW HIRING)

10a Labs

Data Engineer, Web Scraping

San Francisco, CA · Remote

$105K - $125K/yr

Conduct ad hoc web scraping and data collection to support research and intelligence initiatives ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine ...

Dascena

Integration Engineer

Oakland, CA · On-site +1

$119K - $160K/yr

... of data collection. You will use a custom Python-based macro system and write HTML, text, and OCR parsers to interface with it. OCR and web-scraping experience required . This role can be remote.

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Data Scraping Remote information

What are the key skills and qualifications needed to thrive as a Data Scraping Remote specialist, and why are they important?

To thrive as a Data Scraping Remote specialist, you need strong programming skills in languages like Python, proficiency in web protocols, and experience with data extraction techniques. Familiarity with tools and frameworks such as BeautifulSoup, Scrapy, Selenium, and knowledge of APIs is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills for interpreting requirements and ensuring data integrity. These skills and qualities are vital for efficiently gathering accurate data while navigating the technical and ethical challenges of remote web scraping projects.

What are some common challenges faced by remote data scraping professionals, and how can they be effectively addressed?

Remote data scraping professionals often encounter challenges such as dealing with anti-scraping mechanisms (like CAPTCHAs or frequent site structure changes), ensuring data accuracy, and managing large-scale data extraction efficiently. Effective solutions include using rotating proxies, headless browsers, and robust error-handling strategies. Additionally, maintaining open communication with your remote team and staying updated on legal and ethical guidelines for data collection are crucial for long-term success in this role.

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

AspectData Scraping RemoteData Analyst
Required SkillsWeb scraping, programming (Python, SQL), data extractionData interpretation, statistical analysis, visualization
Work EnvironmentRemote, independent, project-basedRemote or on-site, team collaboration
Industry UsageData collection, research, lead generationBusiness insights, reporting, decision-making
CertificationsBasic programming, data handlingStatistics, data analysis tools (Excel, Tableau)

Data Scraping Remote focuses on extracting data from websites using programming skills, often working independently. Data Analysts interpret and analyze data to provide insights, typically requiring statistical knowledge. While both roles may be remote, their core skills and industry applications differ significantly, making them distinct career paths.

What is a Data Scraping Remote job?

A Data Scraping Remote job involves extracting large amounts of data from websites or online sources using automated tools or scripts, all while working from a remote location. Professionals in this role often use programming languages like Python and tools such as BeautifulSoup, Scrapy, or Selenium to gather and structure data for analysis or business use. The work may include identifying relevant data sources, handling anti-scraping measures, and ensuring compliance with legal guidelines. Data scraping specialists typically collaborate with data analysts or engineers to provide clean, organized datasets that support decision-making or business operations. Remote positions offer flexibility, allowing professionals to work from anywhere with a reliable internet connection.
What are the most commonly searched types of Data Scraping jobs in California? The most popular types of Data Scraping jobs in California are:
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Data Scraping Remote jobs near you
Infographic showing various Data Scraping Remote job openings in California as of July 2026, with employment types broken down into 52% Full Time, 31% Part Time, and 17% Contract. Highlights an 100% Remote job distribution.

Data Engineer, Web Scraping

10a Labs

San Francisco, CA • Remote

$105K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Job description

About 10a Labs: 10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. Our adversarial red teaming, model evaluations, and intelligence collection enable engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely.

In this role, you will:

  • Design, implement, and optimize end-to-end data pipelines for scraping and processing structured and unstructured data using Google Cloud Platform (or similar) and best practices; 
  • Conduct ad hoc web scraping and data collection to support research and intelligence initiatives;
  • Prepare data for further analysis, including data cleaning, transformation, anonymization, and masking;
  • Contribute to the development of internal and external APIs, following best practices; 
  • Collaborate with ML engineers, other data engineers, and software developers to deliver actionable insights and functional tools, including internal and external dashboards, APIs, and data dumps; and 
  • Drive other critical initiatives. 

Requirements:

  • Degree (or equivalent work experience) in Computer Science, Engineering, Information Science, Data Science or a related field (graduate degree preferred)
  • 2+ years of professional experience in data engineering or a closely related field
  • Ability to communicate complex technical ideas clearly to non-technical audiences
  • Proficiency in Python, SQL
  • Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy)
  • Experience with Google Cloud Platform (or similar), including storage and database services (e.g., Cloud Storage, CloudSQL, Cloud Spanner) and workflow orchestration (e.g., Cloud Composer/Airflow, Cloud Run, Pub/Sub)
  • Experience building and managing data pipelines, especially for text data
  • Comfort working in fast-moving, high-impact environments, such as startups, AI research labs, or security-focused teams

Compensation & Benefits:

  • Salary Range: $105K–$125K, depending on experience and location
  • Bonus: Performance-based annual bonus
  • Professional Development: Support for conferences, continuing education, or leadership training
  • Work Environment: Fully remote, U.S.-based
  • Health Benefits: Comprehensive health, dental, and vision coverage
  • Time Off: Generous PTO and paid holiday schedule

Retirement: 401(k) plan

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