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Telecommute Python Web Scraping Jobs in California

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow ... Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine ...

Syllable

Software Engineer II

Mountain View, CA · Remote

$150K/yr

Responsible for building and maintaining the web applications and backend services that will power ... Telecommuting permitted from anywhere in the U.S. Requires Bachelors in Computer Science, or ...

Anthropic

Threat Intelligence Engineer

San Francisco, CA · On-site +1

$320K - $405K/yr

Have strong coding proficiency in Python and SQL for building detection logic, data pipelines, and ... Familiarity with web scraping and data extraction at scale * Experience with behavioral analytics ...

Tex

Senior Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Strong general-purpose programming (Python and/or TypeScript), solid SQL/relational databases, and ... web scraping / document extraction, and infrastructure-as-code. We Also Expect You to Have * You ...

The Trade Desk

Software Engineer II

San Jose, CA · On-site +1

$226K - $227K/yr

Telecommuting permitted: work may be performed within normal commuting distance from The Trade Desk ... Implement and maintain internal web applications and services using languages such as C# ...

Solomon Page

SEO Data Analyst

West Hollywood, CA · On-site

$55/hr

Develop and maintain automated reporting workflows using APIs, SQL, and Python, where applicable ... Experience working with web crawling, scraping tools, and automation workflows * Strong analytical ...

The Trade Desk

Software Engineer II

San Jose, CA · On-site

$226K - $227K/yr

Telecommuting permitted: work may be performed within normal commuting distance from The Trade Desk ... Implement and maintain internal web applications and services using languages such as C# ...

The Trade Desk, Inc.

Software Engineer II

San Jose, CA · On-site

$226K - $227K/yr

Telecommuting permitted: work may be performed within normal commuting distance from The Trade Desk ... Implement and maintain internal web applications and services using languages such as C# ...

Suger.io

GTM Engineer

San Francisco, CA · On-site

$120K - $180K/yr

... web engagement to inform growth strategies and tactics. * Manage a technical GTM backlog ... Fluency in Python and SQL , with bonus points for JavaScript, APIs, and scraping tools like ...

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Telecommute Python Web Scraping information

What is a telecommute Python web scraping job?

Telecommute Python Web Scraping jobs involve working remotely to develop and maintain scripts or applications that extract data from websites using the Python programming language. Professionals in these roles use libraries such as BeautifulSoup, Scrapy, or Selenium to automate the collection of web data for analysis, business intelligence, or research purposes. The remote aspect allows workers to perform their tasks from any location with internet access, collaborating with teams or clients online. These jobs typically require knowledge of web protocols, HTML, and ethical scraping practices.

What skills and qualifications are needed to thrive as a telecommute Python web scraping specialist?

To thrive as a Telecommute Python Web Scraping Specialist, you need strong Python programming skills, experience with web scraping libraries like BeautifulSoup and Scrapy, and a solid understanding of HTML, CSS, and data formats such as JSON and CSV. Familiarity with version control systems like Git, cloud platforms, and knowledge of handling CAPTCHAs or anti-bot systems are typically required. Attention to detail, problem-solving abilities, and effective remote communication are crucial soft skills for this role. These competencies ensure efficient data extraction, compliance with legal and ethical standards, and smooth collaboration in a remote work environment.

What are common challenges faced when working remotely as a Python web scraping specialist, and how can they be addressed?

Remote Python web scraping specialists often encounter challenges like managing asynchronous communication with team members, handling inconsistent website structures, and ensuring compliance with website terms of service. To address these, it's important to establish clear communication channels (such as Slack or regular video calls), maintain detailed documentation, and use robust scraping frameworks that handle website changes gracefully. Additionally, staying updated on legal and ethical guidelines for web scraping is crucial to avoid potential pitfalls.

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

AspectTelecommute Python Web ScrapingTelecommute Data Analyst
Required SkillsPython, web scraping libraries, data extractionData analysis, SQL, Excel, visualization tools
Work EnvironmentRemote, independent, technicalRemote, collaborative, analytical
Industry UsageWeb data collection, research, market analysisBusiness insights, reporting, decision-making

While both roles often work remotely and require analytical skills, Telecommute Python Web Scraping focuses on extracting data from websites using Python, whereas Telecommute Data Analysts interpret and visualize data to support business decisions. The roles complement each other but serve different primary functions in data workflows.

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

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

What cities in California are hiring for Telecommute Python Web Scraping jobs?

Cities in California with the most Telecommute Python Web Scraping job openings:

Telecommute Python Web Scraping jobs near you

Data Engineer

San Francisco, CA • Remote

Swish Analytics
Spectator Sports • 1 - 10 employees
Learn more about Swish Analyticsexternal

$160K/yr

Full-time

Re-posted 20 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 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 2+ 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

  • A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College Basketball, and the ability use your knowledge of the sport to inform your work with complex datasets

Base Salary: Starting at $160,000 - 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.