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Python Data Scraping Jobs in California (NOW HIRING)

10a Labs

Data Engineer, Web Scraping

San Francisco, CA · Remote

$105K - $125K/yr

Prepare data for further analysis, including data cleaning, transformation, anonymization, and ... Proficiency in Python, SQL * Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium ...

Turing

Frontier Data Lead - Code

San Francisco, CA · On-site

... e.g., automated data scraping pipelines, unit test generators, repo sandboxing). * Design ... Fluency in Python and proficiency in one or more major languages (C++, Java, Go, Rust, or JS)

TEKsystems

Sr. Python Developer

Menlo Park, CA · Remote

$70 - $85/hr

Develop and optimize SQL queries for data transformation and analysis. * Build and maintain ... Experience with web scraping and handling large, unstructured datasets. * Familiarity with cloud ...

New

Comtech, LLC

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

... Python and Scala * With Spark and Machine Learning (3+) * Data mining, Data analysis Roles and Responsibilities: * Gather and process raw data at scale (including writing scripts, web scraping ...

Comtech, LLC

Data Engineer with Java & Scala

San Jose, CA · On-site

$134K - $161K/yr

... in Java, Python and Scala With Spark and Machine Learning (3+) Data mining, Data analysis Data ... scraping, calling APIs, write SQL queries, etc.). Work closely with our engineering team to ...

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.

AmaWaterways, LLC

Senior Data Engineer

Calabasas, CA · On-site

$145K - $160K/yr

Snowpark Python stored procs, External Access Integrations, INGESTION_CONFIG and RUN_LOG admin ... Web scraping and source integration * Use Playwright with persistent browser profiles for SSO ...

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All JobsPython Data Scraping JobsPython Data Scraping Jobs in California

Python Data Scraping information

What is the difference between Python Data Scraping vs Python Data Analysis?

AspectPython Data ScrapingPython Data Analysis
Primary FocusExtracting data from websites and online sourcesProcessing, interpreting, and visualizing data
Skills RequiredWeb scraping libraries (BeautifulSoup, Scrapy), Python programmingData manipulation (Pandas), statistical analysis, visualization (Matplotlib, Seaborn)
Work EnvironmentData collection, often in research or data-driven companiesData interpretation, reporting, and decision-making
Common UsageGathering data for research, market analysis, or machine learningBusiness insights, data reporting, predictive modeling

Python Data Scraping and Python Data Analysis are related but distinct roles. Data scraping focuses on extracting data from websites, while data analysis involves processing and interpreting that data. Both require Python skills but serve different stages of the data pipeline.

What are popular job titles related to Python Data Scraping jobs in California? For Python Data Scraping jobs in California, the most frequently searched job titles are:
What job categories do people searching Python Data Scraping jobs in California look for? The top searched job categories for Python Data Scraping jobs in California are:
What cities in California are hiring for Python Data Scraping jobs? Cities in California with the most Python Data Scraping job openings:
Python Data Scraping jobs near you

Data Engineer, Web Scraping

10a Labs

San Francisco, CA • Remote

$105K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 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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