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Data Scraping Jobs in California (NOW HIRING)

Data cleansing, scraping unstructured data and converting into structured data Implement data processing using map reduce, pig, hive scripts, Hadoop streaming, kafka, scala, spark and scheduling jobs

Experience in some of the following: full‑stack web application development, developing and designing large software systems, web scraping and other automation scripting, ETL and data pipelines ...

... scraping - and help keep Discord a safe and welcoming place. Reporting to our safety Group Product ... Strong analytical ability to quickly organize and leverage data to make informed product decisions ...

Technical BDR

San Francisco, CA · On-site

$140K - $185K/yr

You can read code, use APIs, talk about web scraping, and understand what LLM-ready data means. You've built things - even if they're small. * Urgency is your default setting. You don't wait for ...

Founding Engineer

San Francisco, CA · On-site

$150K - $220K/yr

Design, build, and operate core infrastructure powering a people-data and AI agent platform, including APIs, LLM-powered workflows, scraping systems, and large-scale knowledge graph architecture.

Founding Engineer

San Francisco, CA · On-site

$150K - $220K/yr

Design, build, and operate core infrastructure powering a people-data and AI agent platform, including APIs, LLM-powered workflows, scraping systems, and large-scale knowledge graph architecture.

... and ensure user data is safe and secure. The role involves building scalable systems and ... scraping, private API abuse, account takeover, and other forms of fraud and abuse. • Shape the ...

Showing results 41-60

Data Scraping information

What are the typical challenges faced in data scraping, and how are they addressed?

Data Scraping professionals often encounter challenges such as dealing with anti-scraping measures, frequent changes to website structures, and managing large volumes of unstructured data. These obstacles require adaptability and creative problem-solving, as well as continuous learning to update scripts and leverage the latest tools. Team collaboration is common—data scrapers may work closely with data analysts, engineers, or business stakeholders to ensure the data collected meets the project's needs. Proactively communicating and staying current with industry best practices helps data scraping specialists efficiently navigate these challenges and deliver high-quality results.

What is a data scraping?

A Data Scraping job involves extracting structured data from websites or online sources using automated tools or scripts. This data is then used for various purposes, such as market research, competitive analysis, or business intelligence. Professionals in this field typically use programming languages like Python or tools like Scrapy and BeautifulSoup to collect and organize data efficiently. However, ethical considerations and legal guidelines must be followed to ensure compliance with website policies and data protection laws.

What are the key skills and qualifications needed to thrive in data scraping, and why are they important?

To excel in Data Scraping, proficiency in programming languages such as Python or JavaScript, familiarity with web protocols, and understanding of data extraction methodologies are essential, often supported by a degree in computer science or a related field. Experience with web scraping tools like BeautifulSoup, Scrapy, or Selenium, and knowledge of APIs are commonly required; relevant certifications in data analysis or automation can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help professionals successfully tackle complex data challenges and collaborate with teams. These competencies are vital to reliably gather, process, and deliver valuable data while adhering to legal and ethical standards.

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

The most popular types of Data Scraping jobs in California are:

Infographic showing various Data Scraping job openings in California as of August 2026, with employment types broken down into 75% Full Time, 14% Part Time, and 11% Contract. Highlights an 100% In-person job distribution.

Automation Engineer - Worlwide Remote

Invisible Technologies

San Francisco, CA

Full-time

Re-posted 15 days ago


Job description

Company Description

Invisible Technologies offers unusual services (a combination of outsourcing and automation) to fast-scaling, innovative companies. Each company understands and uses our services in a variety of ways. It's critical we can communicate to segments of users with visually appealing, and highly communicative assets. You're helping us explain the benefits of our product in a way that words alone never could. 

Job Description

Job Responsibilities:

Create crawlers for each source URL by using Python modules [scrapy, selenium, requests, BeautifulSoup and splash]

Create and maintain scrapy pipelines and middlewares to manage the output from the crawlers.

Create crawlers for all types of websites irrespective of the technical roadblocks.

Manage the crawlers to overcome technical challenges like IP ban, geolocation ban, captcha and bot blocking services.

Write SQL queries to manage database operations using Python modules like sqlalchemyDeploy the python scripts / crawlers to Linux based AWS servers

SkillsMust Haves:

Strong hands-on experience in Python programming

Good experience with scraping libraries such as Requests, BeautifulSoup, Selenium and Scrapy.

Proven 3+ experience working on web development frameworks such as Flask/Django/FastAPI/Tornado/PandasKnowledge of building APIs and services using REST.

Experience with any RDBMS and strong SQL knowledge.

Clear with Object-oriented concepts.

Excellent troubleshooting skills.

Proficient understanding of code versioning tools like git.

Basic understanding of front-end technologies, such as JavaScript, HTML5 and CSS3Understanding of fundamental design principles behind a scalable application.

Nice to have:

Familiar with UI frameworks like Angular/ReactJS

Strong unit test and debugging skills.

Strong knowledge of data engineering platforms such as Airflow.

Experience with the Google CloudDockerAgile and Scrum. Even better if have worked in Jira and confluence.

Experience with ETLCeleryExcellent interpersonal skills and ability to to work with a diverse team

Qualifications

Required: Technical Skills

  • Python
  • JavaScript
  • PostgresSQL
  • Web Scraping using Requests, BeautifulSoup, Selenium and Scrapy
  • Frameworks such as Flask/Django/FastAPI/Tornado/Pandas
  • Building APIs and services using REST
Additional Information

https://jobs.lever.co/invisible/e3f21175-7605-4b30-8790-5ddbd97ab3b5