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Python Data Scraping Jobs in California (NOW HIRING)

SS&C Technologies

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 ...

SS&C

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 ...

Comtech, LLC

Data Engineer

San Jose, CA

$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 ...

Comtech, LLC

Data Engineer with Java & Scala

San Jose, CA

$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 ...

Dascena

Integration Engineer

Oakland, CA · On-site +1

$119K - $160K/yr

... of data collection. You will use a custom Python-based macro system and write HTML, text, and OCR parsers to interface with it. OCR and web-scraping experience required . This role can be remote.

Dascena

Integration Engineer

Oakland, CA · On-site

$119K - $160K/yr

... of data collection. You will use a custom Python-based macro system and write HTML, text, and OCR parsers to interface with it. OCR and web-scraping experience required . This role can be remote.

TSMC

Data Engineer (7747)

San Jose, CA · On-site

$174K - $175K/yr

Experience applying web scraping techniques and data extraction methods using Python tools such as Scrapy, BeautifulSoup, and Selenium; Experience with front-end web technologies (HTML, CSS) for data ...

Walmart

Manager, Data Analytics

Sunnyvale, CA · On-site

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

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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 California? For Python Data Scraping jobs in California, the most frequently searched job titles are:
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Sr. Data Engineer

Sr. Data Engineer

SS&C Technologies

San Francisco, CA • On-site

$134K - $162K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

SS&C Technologies rating

7.7

Company rating: 7.7 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

121st of 209 rated software companies

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 with Engineering, 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.
#LI-MB3
#CA-MB
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.

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About SS&C Technologies

Sourced by ZipRecruiter

SS&C Technologies is a prominent player in the software and IT services industry, specializing in investment and financial technologies. The company is headquartered in Windsor, Connecticut, USA, with the core mission to deliver advanced technology-driven solutions and software for the global financial services industry. SS&C Technologies was established in 1986, and since its inception, the company has grown immensely to offer a comprehensive portfolio of services that include fund administration, securities industry software, insurance and pension funds software, asset management, and trading and settlement services.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Windsor, CT, US

Year founded

1986

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