ZipRecruiter

Log In

1

Data Scraping Jobs in California (NOW HIRING)

Albert Invent

Director of Data Products

Oakland, CA · On-site

... data scraping services, and licensing agreements -- evaluating, negotiating, and integrating third-party sources to expand and enrich Albert's proprietary datasets. • Define how customers' own ...

Albert Invent Corp

Director of Data Products

Oakland, CA · On-site

$140 - $180/hr

Manage external data supplier and partnership relationships -- including premium data providers, data scraping services, and licensing agreements -- evaluating, negotiating, and integrating ...

Albert Invent

Director of Data Products

Oakland, CA · On-site

$140 - $180/hr

Manage external data supplier and partnership relationships-- including premium data providers, data scraping services, and licensing agreements--evaluating, negotiating, and integrating ...

Albert Invent

Director of Data Products

Oakland, CA · On-site

Manage external data supplier and partnership relationships - including premium data providers, data scraping services, and licensing agreements - evaluating, negotiating, and integrating third-party ...

Hebbia

Applied Research Engineer, Agents

San Francisco, CA · On-site

$241K/yr

... data scraping techniques • Prior experience in developing NLP models and systems • Excellent problem-solving and analytical skills • Strong communication and teamwork abilities • Strong ...

Comtech, LLC

Data Engineer

San Jose, CA

$134K - $161K/yr

Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.). * Work closely with our engineering team to integrate and build algorithms

Turing

Staff Research Engineer - Code

San Francisco, CA · On-site

Oversee development of internal tools that accelerate data generation and verification (e.g., automated data scraping pipelines, unit test generators, repo sandboxing). * Design dashboards and APIs ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine learning concepts * A strong interest in sports and sports betting, with an emphasis on Tennis. An ...

Momento USA LLC

Extract and integrate data from various sources, such as databases, APIs, web scraping, etc. * Communicate findings and recommendations to stakeholders using clear and concise language and visuals.

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine learning concepts * A strong interest in sports and sports betting, with an emphasis on Tennis. An ...

Comtech, LLC

Data Engineer with Java & Scala

San Jose, CA

$134K - $161K/yr

... scraping, calling APIs, write SQL queries, etc.). Work closely with our engineering team to integrate and build algorithms Process unstructured data into a form suitable for analysis - and then do ...

SS

Sr. Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Expertise in building data ingestion tools using Python, including web scraping and external APIs, and proficient in Python data science packages (numpy, pandas, scikit-learn, nltk, TensorFlow ...

SS&C

Sr. Data Engineer

San Francisco, CA

$134K - $162K/yr

Expertise in building data ingestion tools using Python, including web scraping and external APIs, and proficient in Python data science packages (numpy, pandas, scikit-learn, nltk, TensorFlow ...

next page

Showing results 1-20

All JobsData Scraping JobsData Scraping Jobs in California

Data Scraping information

What are the typical challenges faced in a Data Scraping role, 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 job?

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 the Data Scraping position, 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:
What are popular job titles related to Data Scraping jobs in California? For Data Scraping jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Scraping jobs in California look for? The top searched job categories for Data Scraping jobs in California are:
Data Scraping jobs near you
Infographic showing various Data Scraping job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Data Engineer, Anti Scraping, Third Party Data Operations

Data Engineer, Anti Scraping, Third Party Data Operations

Google

Mountain View, CA • On-site

$135K - $162K/yr

Full-time

Posted 11 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

51st of 245 rated software companies

Job description

Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience designing, building, and managing production-grade ETL pipelines.
  • Experience writing readable, structured code (e.g., Python, Java) and applying AI/ML libraries/frameworks (e.g., TensorFlow, Vertex AI) within data systems.
  • Experience applying AI/ML techniques to anti-abuse, security, or fraud detection.

Preferred qualifications:
  • Experience with AI to drive automation for data pipelines and data quality.
  • Experience with data logging, monitoring, and analysis tools.
  • Familiarity with distributed systems.
  • Understanding of bot detection techniques and adversarial machine learning.
  • Ability to manage project timelines and deliverables effectively.
  • Excellent stakeholder engagement skills, with experience working with both internal teams and external vendors.

About the job
In this role, you will support the GASP team which builds technology to protect Geo assets at scale. As a Data Engineer, you will build and manage data pipelines to ensure data sources can be consumed by the Geo Anti-Scraping Program (GASP) for abuse and scraping detection, monitoring and measurement.
The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.
The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $156000 - $227000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Architect, build, and maintain data pipelines to ingest, process, and transform logs and signals from various Geo services for scraping detection and analysis.
  • Implement and manage data quality frameworks, leveraging AI and automation to enhance data ingestion, ensure data integrity, and improve the accuracy of anti-scraping models and analytics.
  • Develop and maintain curated datasets, reports, queries, and dashboards to support client users in understanding and mitigating scraping threats.
  • Drive the creation of automated solutions and self-service tools to accelerate data-driven decision-making and improve the efficiency of anti-scraping operations and partner care experiences.
  • Provide operational support for anti-scraping data systems, including performance monitoring, post-launch issue resolution, proactive planning for dependency changes and system migrations, while defining and driving the long-term technical goal and roadmap for a scalable, resilient, and cost-effective anti-scraping data infrastructure for Google Maps.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

What Google employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply