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Python Data Scraping Jobs in Santa Clara, CA (NOW HIRING)

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

... Python and Scala * With Spark and Machine Learning (3+) * Data mining, Data analysis Roles and Responsibilities: * Gather and process raw data at scale (including writing scripts, web scraping ...

Data Engineer with Java & Scala

San Jose, CA · On-site

$134K - $161K/yr

... in Java, Python and Scala With Spark and Machine Learning (3+) Data mining, Data analysis Data ... scraping, calling APIs, write SQL queries, etc.). Work closely with our engineering team to ...

Experience automating critical pricing workflows using SQL and Python, including data ingestion ... Experience monitoring competitor pricing data sourced from web scraping and syndicated feeds.

Senior AI Engineer

Foster City, CA

$121K - $167K/yr

... scraping, with a clear mandate: deliver a production-grade system that detects compliance ... Requirements * Production backend Python experience, including async patterns, type hints ...

Python Data Scraping information

What is the difference between Python Data Scraping vs Python Data Analysis?

AspectPython Data ScrapingPython Data Analysis
Primary FocusExtracting data from websites and online sourcesProcessing, interpreting, and visualizing data
Skills RequiredWeb scraping libraries (BeautifulSoup, Scrapy), Python programmingData manipulation (Pandas), statistical analysis, visualization (Matplotlib, Seaborn)
Work EnvironmentData collection, often in research or data-driven companiesData interpretation, reporting, and decision-making
Common UsageGathering data for research, market analysis, or machine learningBusiness insights, data reporting, predictive modeling

Python Data Scraping and Python Data Analysis are related but distinct roles. Data scraping focuses on extracting data from websites, while data analysis involves processing and interpreting that data. Both require Python skills but serve different stages of the data pipeline.

What are popular job titles related to Python Data Scraping jobs in Santa Clara, CA? For Python Data Scraping jobs in Santa Clara, CA, the most frequently searched job titles are:
What cities near Santa Clara, CA are hiring for Python Data Scraping jobs? Cities near Santa Clara, CA with the most Python Data Scraping job openings:
Infographic showing various Python Data Scraping job openings in Santa Clara, CA as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% 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 yesterday

New


Google rating

8.8

Company rating: 8.8 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

40th of 209 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.

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