1

Python Scraping Jobs in California (NOW HIRING)

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 ...

Showing results 41-46

Python Scraping information

See California salary details

$13

$57

$85

How much do python scraping jobs pay per hour?

As of Aug 6, 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.

Is Python good for data scraping?

Python is widely used for data scraping due to its simplicity and extensive libraries like BeautifulSoup, Scrapy, and Requests that facilitate web data extraction. It is suitable for roles involving data collection, automation, and analysis, often requiring knowledge of HTML, CSS, and APIs.

Which Python scraping job is in demand?

Python scraping jobs are in high demand across industries such as data analysis, market research, and automation. Roles typically require skills in web scraping tools like BeautifulSoup or Scrapy, and knowledge of APIs and data handling. Demand is strong for professionals who can efficiently extract and process large datasets for business insights.
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 August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $120,336 per year, or $57.9 per hour.

Staff Engineer, Network Observability

CoreWeave

Sunnyvale, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


CoreWeave rating

9.8

Company rating: 9.8 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 221 rated it services


Job description

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.
What You'll Do:

The Network Observability team is responsible for how CoreWeave observes, understands, and operates its network at scale. As a Staff Engineer for Network Observability, you will define and evolve the technical direction for network observability, partnering across Network Engineering, SRE, Platform, and adjacent infrastructure teams to build resilient telemetry systems, raise engineering standards, and turn observability into a strategic advantage for the business.

Your mission: build and scale a network observability platform that provides CoreWeave fast, trustworthy insight into network behavior, enables proactive risk detection, improves how engineering teams make decisions during both normal operations and incidents, and enables closed-loop automation workflows.

In this role, you will:
  • Set technical direction for network observability across multiple teams, ensuring the platform, data models, and telemetry strategy align with long-term engineering and business goals
  • Lead the design and evolution of scalable observability solutions using diverse collector technologies (e.g., gNMI, SNMP, Prometheus scraping, OTEL, logs, flows, etc.), persistence databases (e.g., Prometheus-like, Loki, Clickhouse), and visualization and alerting ones (e.g., Grafana, Alertmanager), with a strong focus on reliability, usability, and future scale
  • Drive cross-team initiatives to standardize observability patterns, improve signal quality, and create a consistent approach to logs, metrics, events, flows, and related diagnostics across the network stack
  • Partner closely with engineering leadership and technical stakeholders to prioritize investments, navigate ambiguity, and make high-leverage technical tradeoffs that improve resilience, scalability, and operator efficiency
  • Act as a go-to technical expert for critical observability challenges, especially when incidents, architectural complexity, or unclear ownership require strong judgment and coordination
  • Mentor junior and senior engineers through technical reviews, design guidance, and hands-on problem solving, raising the bar for engineering quality and multiplying the impact of the broader team
  • Participate in design discussions, RFCs, and architectural decisions across the broader infrastructure organization, helping teams converge on scalable, maintainable solutions
  • Join a rotating on-call schedule as a senior escalation point for observability-related issues, helping teams quickly isolate failures, improve incident response, and drive durable follow-through after outages
Who You Are:
  • Deep expertise in building flexible network observability solutions, with diverse implementation options for collectors, distribution, processing, persistence, alerting, analytics, and visualization
  • Experience as a Network Engineer, SRE, Software Engineer, or Systems Engineer in large-scale environments, with a strong track record of building and operating observability or infrastructure platforms that support multiple teams
  • Demonstrated ability to lead through ambiguity, shape technical direction, and make sound architectural and operational tradeoffs that balance immediate needs with long-term maintainability
  • Strong systems thinking and practical experience designing resilient, scalable solutions that improve visibility, incident response, and engineering efficiency
  • Proven ability to work across teams and functions, influence without formal authority, and build trust with both technical and non-technical stakeholders
  • Proficient with Python, Go, and Bash, plus familiarity with configuration management and templating tools such as Ansible and Jinja2
  • Comfortable containerizing and operating solutions in Kubernetes, including designing, building, and deploying container-based workloads efficiently
  • Strong knowledge of Linux systems and IP networking concepts, with hands-on experience in routing, switching, and network troubleshooting
  • Practical experience with networking platforms such as SONiC, HPE Junos, NVIDIA Cumulus Linux, Nokia SR OS, and SR Linux
  • A strong mentorship mindset and a history of helping other engineers grow through coaching, design feedback, documentation, and technical leadership
Preferred:
  • Bachelor's degree in Computer Science or a related field
  • Hands-on experience applying machine learning techniques or tools to proactively detect performance or security anomalies in network traffic
  • Experience with OpenTelemetry, Jaeger, Zipkin, or similar tooling for end-to-end tracing across distributed systems and infrastructure components
  • Experience shaping technical roadmaps, setting standards, or leading platform investments that materially improved reliability or scalability across multiple teams
  • Network certifications such as CCNA, CCNP, or similar

Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

  • Be Curious at Your Core
  • Act Like an Owner
  • Empower Employees
  • Deliver Best-in-Class Client Experiences
  • Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $207,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include:

  • Medical, dental, and vision insurance - 100% paid for by CoreWeave
  • Company-paid Life Insurance
  • Voluntary supplemental life insurance
  • Short and long-term disability insurance
  • Flexible Spending Account
  • Health Savings Account
  • Tuition Reimbursement
  • Ability to Participate in Employee Stock Purchase Program (ESPP)
  • Mental Wellness Benefits through Spring Health
  • Family-Forming support provided by Carrot
  • Paid Parental Leave
  • Flexible, full-service childcare support with Kinside
  • 401(k) with a generous employer match
  • Flexible PTO
  • Catered lunch each day in our office and data center locations
  • A casual work environment
  • A work culture focused on innovative disruption

California Applicants

California Consumer Privacy Act

Equal Opportunity & Accommodations

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.


What CoreWeave employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom