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Python Scraping Jobs in California (NOW HIRING)

Engineer I

Poway, CA · On-site

$62K - $105K/yr

... computing * visualizations scraping a database to compare simulated vs. test-logged data ... Familiarity with Python. * Familiarity with SQL databases or similar data-management tools.

Founding GTM Engineer

San Francisco, CA · On-site

$120K - $200K/yr

Proficiency writing code (Python, JavaScript, or SQL) and familiarity working with APIs * Track ... Experience with modern GTM tools (Clay, Claude Code, Parallel, Unify, Sim, scraping/indexing the ...

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Engineer IV

Poway, CA · On-site

$98K - $171K/yr

... computing * visualizations scraping a database to compare simulated vs. test-logged data ... Familiarity with Python. * Familiarity with MySQL, SQLite, MongoDB, or similar.

Core Skills (Required) * Python (Pandas, NumPy, scikit-learn, SciPy) * Strong grounding ... Web scraping/development (Selenium, Javascript, HTTP, CSS) * Forecasting or time-series analysis

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

Threat Collections Engineer

San Francisco, CA · On-site +1

$300K - $320K/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 ...

Head of Growth Engineering

San Francisco, CA · On-site

$195K - $225K/yr

... scraping for negative sentiment and/or market shifts that can be leveraged to out-position the ... Full-stack development skills (e.g., JavaScript, Python, React) to build growth experiments and ...

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Python Scraping information

See California salary details

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$57

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How much do python scraping jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for python scraping in California is $57.85, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 per hour, depending on experience, location, and employer.

What are some common challenges faced by Python Scraping professionals, and how can they be addressed?

Python Scraping professionals often encounter obstacles such as website anti-scraping measures, dynamic content loading with JavaScript, and frequent changes in website structures. Overcoming these challenges typically involves using tools like Selenium or Playwright for dynamic pages, rotating proxies and user agents to avoid detection, and writing adaptable, modular code to quickly update scrapers when site layouts change. Staying up to date with the latest libraries and best practices is vital for efficiency and compliance with legal and ethical standards.

What are the key skills and qualifications needed to thrive as a Python Scraping Specialist, and why are they important?

To thrive as a Python Scraping Specialist, you need strong proficiency in Python programming, understanding of web protocols (HTTP, HTML, CSS), and experience with libraries such as BeautifulSoup, Scrapy, or Selenium. Familiarity with version control systems like Git and knowledge of data storage formats (JSON, CSV, SQL) are also commonly required. Problem-solving, attention to detail, and effective communication are valuable soft skills in this role. These skills ensure efficient data extraction, compliance with website policies, and the ability to deliver actionable insights from web data.

What is the difference between Python Scraping vs Data Analyst?

AspectPython ScrapingData Analyst
Required SkillsPython programming, web scraping libraries (BeautifulSoup, Scrapy)Data analysis, SQL, Excel, statistical skills
Work EnvironmentTechnical, coding-focused, often remoteBusiness-focused, reporting, presentations
Industry UsageWeb data extraction, research projectsBusiness insights, decision-making
CertificationsPython certifications, web scraping coursesData analysis certifications (e.g., CAP, Microsoft Certified)

Python Scraping involves writing code to extract data from websites, focusing on programming skills and technical tools. Data Analysts interpret and visualize data for business insights, requiring analytical and statistical skills. While both roles work with data, Python Scraping is more technical and coding-intensive, whereas Data Analysts focus on analyzing and presenting data for decision-making.

What is Python scraping?

Python scraping refers to the process of using the Python programming language to extract data from websites or online sources. It typically involves sending HTTP requests to webpages, parsing the HTML or other content, and collecting specific information for analysis or storage. Popular Python libraries for web scraping include BeautifulSoup, Scrapy, and Requests. This technique is widely used in data analysis, research, and business intelligence, but it's important to respect website terms of service and legal guidelines when scraping data.
What job categories do people searching Python Scraping jobs in California look for? The top searched job categories for Python Scraping jobs in California are:
What cities in California are hiring for Python Scraping jobs? Cities in California with the most Python Scraping job openings:
Infographic showing various Python Scraping job openings in California as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $120,336 per year, or $57.9 per hour.

$180K - $300K/yr

Other

Posted 23 days ago


Job description

About this role
You'll build the AI systems that power taste evals, tooling, APIs, and RL environments, from agent architectures and data pipelines to the product surfaces where users interact with the platform.
The work skews backend (synthetic data, embeddings, crawling, evaluation systems), but you'll also ship front-end tooling and gamified experiences when needed. This is an early-stage environment with high ownership and lots of building from scratch.
Our Client
Our client is building the taste layer for AI - teaching models what great feels like across subjective domains. Their on a mission to end AI slop and help create a world with more taste. You'll work at the cutting edge of AI research with creative experts, shaping the future of how AI understands subjective quality and aesthetics.
Core focus
  • Craft agent harnesses, memory, and self-improvement loops
  • Design evaluation pipelines and synthetic data generation systems
  • Create embedding and retrieval infrastructure that scales to millions of requests
  • Build crawling and scraping systems for visual data across the web
  • Set up inference serving and APIs for client-facing products
  • Develop tooling and infrastructure that makes everything reliable and fast
Also you
  • Ship internal tools for data operations and external tools for expert annotators
  • Build gamified product experiences: taste quizzes, leaderboards, reward flows
What matters to us
  • Startup DNA: You've built at early-stage companies (pre-seed to Series C) and operate well in ambiguity
  • Real AI building experience: You've shipped agent systems, built with LLMs, and understand the craft - whether through your job, open source, or serious personal projects
  • Genuine curiosity about taste: This problem is hard, nuanced, and undefined. You find that energizing, not frustrating
  • Creative problem-solving: We're not optimizing existing systems. We're inventing infrastructure for something that doesn't exist yet
Bonus points
  • Open source contributions
  • Background at creative companies (Figma, Notion, Canva, Adobe, Runway, etc.) or companies with strong indexing/crawling work (e.g. Firecrawl, Brave, Luma, Pika)
  • Personal projects that show you build things because you're curious
Requirements
  • 4+ years of experience in fullstack or backend software engineering
Compensation & Additional Details
  • Salary: $180K - $300K
  • Equity: 0.25% - 0.75%
  • Visa sponsorship available: O-1, STEM OPT, H-1B (if exempt from $100K fee)
  • On-site work policy: In-office in San Francisco
  • Full-time position
  • Location: San Francisco

Tech stack
Python, React, TypeScript, LLM & Agent frameworks (LangChain, Pydantic AI, LlamaIndex), vector databases, and related AI infrastructure tooling.
From Tangerine Search:
Tangerine Search is an equal opportunity agency that values diversity. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.