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Python Scraping Jobs in California (NOW HIRING)

Sr. Data Engineer

San Francisco, CA

$134K - $162K/yr

Python Proficiency : 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 ...

Sr. Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Python Proficiency : 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 ...

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 ...

... Python • Experience with NLP and text processing libraries such as NLTK, SpaCy, or Apache Tika ... and data scraping techniques • Prior experience in developing NLP models and systems • ...

Software Engineer IV

Menlo Park, CA · On-site

$63 - $83/hr

Develop Python scripts to download, parse, filter, and process large datasets from the web. * Write ... Experience with web-scale data collection, web scraping, dataset parsing, or large-scale data ...

Engineer I

Poway, CA · On-site

$62K - $105K/yr

... computing * visualizations scraping a database to compare simulated vs. test-logged data ... Familiarity with Python. * Familiarity with SQL databases or similar data-management tools.

Founding GTM Engineer

San Francisco, CA · On-site

$120K - $200K/yr

Proficiency writing code (Python, JavaScript, or SQL) and familiarity working with APIs * Track ... Experience with modern GTM tools (Clay, Claude Code, Parallel, Unify, Sim, scraping/indexing the ...

Sr. Software Engineer

Monterey Park, CA · Hybrid

$180K - $210K/yr

Python, React, Javascript, SQL * Bachelor's degree in Computer Science or related, or related ... scraping and other automation scripting, ETL and data pipelines, data science, machine learning

Showing results 21-40

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.

Sr. Data Engineer

SS&C

San Francisco, CA

$134K - $162K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Job description

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

Job Description

Data Engineer

Location: San Francisco, CA | Hybrid

We're looking for a talented Sr. Data Engineer to join our new Data Platform product team. In this role, you will work closely with our Product, Engineering, Cloud, and Service teams to build best in class infrastructure supporting data across the Eclipse and the Data Platform. This is a strategic, high-impact role that will also help shape the future of SS&C Eze products and services.

Why You Will Love It Here!

  • Flexibility: Hybrid Work Model and Business Casual Dress Code, including jeans
  • Your Future: 401k Matching Program, Professional Development Reimbursement
  • Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays
  • Your Wellbeing: Medical, Dental, Vision, Employee Assistance Program, Parental Leave
  • Wide Ranging Perspectives: Committed to Celebrating the Variety of Backgrounds, Talents and Experiences of Our Employees
  • Training: Hands-On, Team-Customized, including SS&C University
  • Extra Perks: Discounts on fitness clubs, travel and more!

What You Will Get To Do:

  • Design, build, and own the core data models and key infrastructure to manage data and usage across the Eclipse Platform and Data Marketplace

  • Design and implement a data quality monitoring system. The system should include source-to-target data validations as well as anomaly detection

  • Collaborate closely withEngineering, Product Management, & IT, to inform product decision making with data and to identify opportunities for system improvements. Including recommendations and innovation for Information architecture and insights that are valuable to our customers

  • Collaborate with the Engineering, IT, and Security team(s) to meet data governance requirements

  • Build dashboards to help Leadership monitor performance, availability, and user behavior of the platform

  • Answer questions from the leadership team for reporting, publications, and industry reports

  • Think creatively to find optimal solutions to our complex, often unstructured problems

What You Will Bring:

  • Data Expertise: Proficient in data modeling, analysis, and relational database design. Financial setting experience is preferred.
  • Large Datasets: Skilled in processing and extracting value from large, disconnected datasets.
  • Data Pipelines: Experienced in designing and optimizing data pipelines and architectures.
  • Python Proficiency: 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, matplotlib, etc.).
  • Machine Learning: Proficient in Machine Learning, NLP, or deep learning using Python.
  • PySpark: Experienced in working with PySpark.
  • ETL/ELT: Experienced in ELT/ETL development and handling unstructured datasets.
  • Data Warehousing: Knowledgeable in data warehousing and multidimensional data models.
  • Rapid Prototyping: Experienced in rapid prototyping and fast solution delivery processes.
  • Analytics: Skilled in working with large datasets to generate complex analytics for actionable insights.
  • Collaboration: Effective in collaborating across disciplines, departments, and segments.
  • Documentation: Experienced in developing and maintaining ETL-related artifacts such as schemas, data dictionaries, and transforms.

Desirable Skills:

  • ETL/ELT Development: Proficient in ELT/ETL development.
  • Machine Learning: Experienced in Machine Learning, NLP, or deep learning using Python.
  • Unstructured Data: Skilled in handling unstructured datasets.

Thank you for your interest in SS&C! If applicable, to further explore this opportunity, please apply directly with us through our Careers page on our corporate website: www.ssctech.com/careers.

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Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.

SS&C Technologies offers a comprehensive total rewards package designed to support your wellbeing, growth, and future. Our benefits include medical, dental, and vision coverage; a 401(k) plan with company match; paid time off, holidays, and parental leave; and professional development reimbursement opportunity.Actual base salary will vary based on several factors, including but not limited to relevant skills, prior experience, education, demonstrated performance, and geographic location.California: The expected base salary for the position is between 120000 USD to 160000 USD.In addition, employees in this role may be eligible for consideration on an annual basis for a discretionary bonus and/or equity awards, such as restricted stock units or stock options, based upon individual and business performance at the company's discretion.

Applications will be accepted on an ongoing basis until the position is filled.

SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.