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Web Data Scraping Jobs in California (NOW HIRING)

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine learning concepts * Professional working experience with MLB or NBA data Salary: Starting at $145 ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine learning concepts * A strong interest in sports and sports betting, with an emphasis on Tennis. An ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine learning concepts * A strong interest in sports and sports betting, with an emphasis on Tennis. An ...

Comtech, LLC

Data Engineer with Java & Scala

San Jose, CA · On-site

$134K - $161K/yr

... web scraping, calling APIs, write SQL queries, etc.). Work closely with our engineering team to integrate and build algorithms Process unstructured data into a form suitable for analysis - and then ...

COMFORT SYSTEMS

Data Scientist I

Sacramento, CA · On-site

$61 - $123/hr

Exposure to data mining and web scraping. * Data Visualization: Working knowledge of two or more data visualization tools and proficiency in static data visualization. Basic understanding of dynamic ...

Clera

Staff Engineer

San Francisco, CA · On-site

$250K - $300K/yr

Experience with agent orchestration, LLMs, or web scraping. * Familiarity with distributed systems, cloud infrastructure (AWS or GCP), microservices, and data pipelines. * Background at a high-growth ...

Clera

Staff Engineer

San Francisco, CA · On-site

$250K - $300K/yr

Experience with agent orchestration, LLMs, or web scraping. * Familiarity with distributed systems, cloud infrastructure (AWS or GCP), microservices, and data pipelines. * Background at a high-growth ...

Dascena

Integration Engineer

Oakland, CA · On-site

$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.

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.

Clera

Founding Engineer

San Francisco, CA · On-site

$150K - $220K/yr

Design, build, and operate core infrastructure including APIs, LLM-powered workflows, web scraping ... Familiarity with distributed systems, microservices, data pipelines, or cloud infrastructure (AWS ...

smart folks inc

Reporting Analyst

Cupertino, CA · On-site

... data, image scraping, RV scraping). * Drive harmonization discussions to align geo data to WW standards, and analyze web scraped data to make sense of it and determine appropriate harmonization ...

Clera

Founding Engineer

San Francisco, CA · On-site

$150K - $220K/yr

Design, build, and operate core infrastructure including APIs, LLM-powered workflows, web scraping ... Familiarity with distributed systems, microservices, data pipelines, or cloud infrastructure (AWS ...

SS&C

Sr. Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Expertise in building data ingestion tools using Python, including web scraping and external APIs, and proficient in Python data science packages (numpy, pandas, scikit-learn, nltk, TensorFlow ...

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All JobsWeb Data Scraping JobsWeb Data Scraping Jobs in California

Web Data Scraping information

See California salary details

$10

$31

$67

How much do web data scraping jobs pay per hour?

As of Sep 6, 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 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 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 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 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 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 5% Internship, 72% Full Time, 16% Part Time, and 7% Contract. Highlights an 73% In-person, 5% Hybrid, and 22% Remote job distribution, with an average salary of $66,265 per year, or $31.9 per hour.

Data Engineer

Swish Analytics

San Francisco, CA • Remote

$145K/yr

Full-time

Re-posted 16 days ago

Job description

Company Overview

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

Job Description

The Swish Analytics team is seeking Data Engineers based in Europe to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. We’re a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.

Duties

  • Support production systems and help triage issues during live sporting events

  • Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production

  • Build new sports betting data products and predictions offerings

  • Integrate large and complex real-time datasets into new consumer and enterprise products

  • Develop production-level predictive analytics into enterprise-grade APIs

  • Contribute to the design and implementation of new, fully-automated sports data delivery frameworks

Requirements

  • BS/BA degree in Mathematics, Computer Science, or related STEM field

  • Minimum of 4+ years of demonstrated experience writing production level code (Python)

  • Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow

  • Demonstrated experience with Kubernetes

  • Experience building end-to-end ETL pipelines

  • Experience utilizing REST APIs

  • Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)

  • Experience with web scraping and cleaning unstructured data

  • Knowledge of data science and machine learning concepts

  • Professional working experience with MLB or NBA data

Salary: Starting at $145,000 - DOE

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.