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Weekend Python Web Scraping Jobs in California (NOW HIRING)

Anthropic

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 ...

Sim

Founding GTM Engineer

San Francisco, CA · On-site

$120K - $200K/yr

Proficiency writing code (Python, JavaScript, or SQL) and familiarity working with APIs * Track ... scraping/indexing the web, etc.) * High bias toward action and "shipping v1 today"-you thrive in ...

SpaceX

Site Reliability Engineer, GNC

Hawthorne, CA · On-site

$145K - $175K/yr

Monitoring and incident response for web applications and services * Manage the underlying ... Willing to work extended hours and weekends when needed to meet critical deadlines COMPENSATION AND ...

SpaceX

Site Reliability Engineer, GNC

Hawthorne, CA · On-site

$145K - $175K/yr

Monitoring and incident response for web applications and services * Manage the underlying ... Willing to work extended hours and weekends when needed to meet critical deadlines COMPENSATION AND ...

SpaceX

Site Reliability Engineer, GNC

Hawthorne, CA · On-site

$145K - $175K/yr

Monitoring and incident response for web applications and services * Manage the underlying ... Willing to work extended hours and weekends when needed to meet critical deadlines COMPENSATION AND ...

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Weekend Python Web Scraping information

What are some common challenges faced in a weekend Python web scraping role, and how can they be addressed?

One frequent challenge in weekend Python web scraping roles is dealing with websites that implement anti-scraping measures, such as CAPTCHAs or frequent layout changes. Effective solutions include using libraries like Selenium or Playwright to mimic human browsing, rotating user agents and IP addresses, and staying updated with website structure changes. Additionally, time management is key, as weekend roles often require efficiently balancing multiple scraping tasks within limited hours. Collaborating with other developers or data engineers, even asynchronously, can help share solutions and maintain scraping scripts effectively.

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

To thrive as a Weekend Python Web Scraping Specialist, you need strong proficiency in Python programming, experience with web scraping libraries like BeautifulSoup and Scrapy, and a solid understanding of HTML, CSS, and HTTP protocols. Familiarity with version control systems such as Git, browser automation tools like Selenium, and sometimes cloud platforms is also typically expected. Attention to detail, problem-solving skills, and effective communication are essential soft skills to manage project requirements and address data extraction challenges. These competencies ensure accurate, efficient data gathering and reliable delivery within tight weekend timelines.

What are Weekend Python Web Scraping jobs?

Weekend Python Web Scraping jobs involve using the Python programming language to collect and extract data from websites, typically during weekend hours or as a part-time remote role. These jobs often require knowledge of web scraping libraries like BeautifulSoup, Scrapy, or Selenium, as well as an understanding of HTML and web protocols. The work can include tasks such as gathering data for market research, competitive analysis, or data aggregation projects. Since the work is scheduled for weekends, it offers flexibility for those who have commitments during the week. Attention to ethical web scraping practices and compliance with website terms of service is usually important.

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

AspectWeekend Python Web ScrapingWeekend Data Analyst
Required SkillsPython, web scraping libraries, data extractionExcel, SQL, data visualization, basic programming
Work EnvironmentRemote, project-based, technicalRemote or on-site, analytical, business-focused
Industry UsageTech, e-commerce, researchFinance, marketing, consulting

Weekend Python Web Scraping involves writing scripts to extract data from websites, focusing on technical skills like Python programming. Weekend Data Analysts interpret and visualize data to support business decisions, requiring analytical and communication skills. While both roles may work remotely and require some technical knowledge, Python Web Scraping is more technical and coding-intensive, whereas Data Analysis emphasizes data interpretation and reporting.

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 are popular job titles related to Weekend Python Web Scraping jobs in California? For Weekend Python Web Scraping jobs in California, the most frequently searched job titles are:
What job categories do people searching Weekend Python Web Scraping jobs in California look for? The top searched job categories for Weekend Python Web Scraping jobs in California are:
What cities in California are hiring for Weekend Python Web Scraping jobs? Cities in California with the most Weekend Python Web Scraping job openings:
Weekend Python Web Scraping jobs near you
Software Engineer- Data Engineering (Staff/ Sr Staff)

Software Engineer- Data Engineering (Staff/ Sr Staff)

Equilibrium Energy

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

Job description

About our Company
Equilibrium Energy is a team of technologists, power market experts, and AI pioneers reimagining how the world's most critical industry operates. We're building a first-of-its-kind AI operating system for the power sector, uniting cutting-edge science with real-world purpose to enable a cleaner, more resilient energy future. At EQ, you'll join a tight-knit group of brilliant, curious, and adventurous people who bring the same energy to collaboration as they do to innovation.
Equilibrium Energy is a well-funded, Series B clean energy startup backed by some of the most prominent institutional investors in climate. New colleagues will share our vision that a next-generation energy company must be built from the ground up on deep industry expertise combined with an unwavering commitment to modern digital approaches. We're looking for collaborative, talented, passionate and resourceful folks to join our team and help us lay the foundation for our important mission and ambitious plan.
What we are looking for
Equilibrium Energy is building the platform that will power the clean energy transition. As a Staff/ Sr Staff Software Engineer- Data Engineering, you will play a critical role in shaping our long-term data architecture. You'll lead the design and implementation of high-impact data initiatives that support energy trading, forecasting, and AI development.
This is a hands-on role that blends platform engineering, advanced data processing, and cross-functional collaboration. You'll help scale our systems to enable near real-time decision-making and empower traders, data scientists, and operators to move faster with confidence.
What you will do
  • Design and implement the long-term data architecture using modern technologies and frameworks.
  • Build and maintain scalable ETL/ELT pipelines in Python, SQL, and dbt-ingesting data via APIs, web scraping, and streaming sources.
  • Develop and operate data pipelines using orchestration frameworks such as Temporal and Dagster.
  • Design data models and schemas for our cloud warehouse (Databricks) and relational databases; contribute to the development of our ML feature store.
  • Optimize workflows for performance and cost efficiency.
  • Drive large, cross-functional data initiatives from planning to execution.
  • Partner with AI and engineering teams to ensure high-quality datasets for machine learning and analytics.
  • Collaborate with product managers, scientists, and engineers to gather requirements and deliver robust data products.
  • Mentor other engineers in best practices for data ingestion, architecture, and scalable pipeline design.
  • Support the software testing cycle, debug code, and resolve issues found during QA or user acceptance testing.
The minimum qualifications you'll need
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field.
  • 7+ years of progressive experience in data or software engineering.
  • Advanced programming skills in Python and SQL.
  • Experience building globally distributed data systems and real-time pipelines.
  • Hands-on with orchestration/stream processing tools like Temporal, Dagster, Airflow, Spark, or Kafka.
  • Strong knowledge of relational and NoSQL databases (e.g., Postgres, MySQL, MongoDB, ElasticSearch, Cassandra).
  • Familiarity with data warehousing and cloud computing (Databricks and AWS preferred).
  • Experience mentoring engineers and providing architectural direction.
  • Strong analytical skills, with the ability to work with unstructured or ambiguous datasets.
  • Commitment to data quality, testing, and observability.
  • Experience with both OLTP and OLAP data processing systems
Nice to have additional skills
  • Experience with energy market data or weather data sources (e.g., NWS, NOAA, Yes Energy).
  • Experience using dbt for transformations and data quality checks.
  • Collaborating with data science teams to build and productionize ML pipelines.
  • Familiarity with DataOps practices and CI/CD for data workflows.
  • Knowledge of real-time data technologies, graph databases, or unstructured data processing.
  • Understanding of power systems, grid operations, or financial aspects of energy trading.

Not sure this is the right role for you?
We are a high growth company with accelerating hiring needs so there's a great chance we'll be able to create a custom role for you, now or in the future. All roles, titles and compensation packages are tailored to the applicant, so apply anyways and tell us in your cover letter about your dream role.
What we offer
Equilibrium is composed of deeply knowledgeable industry experts across all our functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering. Our experience in the space means we've previously built versions of nearly every technical component of our platform. We are now designing them better, and combining them in a holistic and novel way, to achieve global scale and climate impact. We pride ourselves on our deeply empathetic & collaborative culture, honest and direct but respectful communication, and our balanced, flexible, and remote-first work environment.
Employee benefits include:
  • Competitive base salary and a comprehensive medical, dental, vision, and 401k package
  • Opportunity to own a significant piece of the company via a meaningful equity grant
  • Unlimited vacation and flexible work schedule
  • Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech

Equilibrium Energy is a diverse and inclusive, equal opportunity employer that does not discriminate on the basis of race, gender, nationality, sexual orientation, veteran status, disability, age, or other legally protected status.

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