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Python Web Scraping Jobs in Virginia (NOW HIRING)

GRVTY

Data Scientist - Senior

Falls Church, VA · On-site

Build web scraping algorithms for imagery curation in accordance with customer data priorities ... Development experience in Python and other languages for data cleaning and manipulation What Would ...

GRVTY

Data Scientist - Senior

Falls Church, VA · On-site

Build web scraping algorithms for imagery curation in accordance with customer data priorities ... Development experience in Python and other languages for data cleaning and manipulation What Would ...

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How much do python web scraping jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for python web scraping in Virginia is $57.39, according to ZipRecruiter salary data. Most workers in this role earn between $52.45 and $61.97 per hour, depending on experience, location, and employer.

What are Python web scraping jobs?

Web scraping is a process used for web data extraction. Python web scraping uses Python software to gather information and organize it for later analysis. You can find work as a Python web scraping engineer or web scraping developer where you write and run spiders to perform web crawling to obtain and extract data, as well as troubleshoot system issues. There are other opportunities as a Python web scraping analyst where your duties are to analyze the gathered information. You can work a Python web scraping job at a specific company or provide freelance services.

What are some common challenges faced by professionals in Python web scraping roles, and how can they be addressed?

Python web scraping professionals frequently encounter challenges such as handling websites with dynamic content, managing IP bans, and ensuring compliance with legal and ethical guidelines. To address these, it's important to use libraries like Selenium for dynamic pages, implement rotating proxies and user agents to avoid blocking, and thoroughly review website terms of service. Staying up to date with best practices and automating error handling will also help navigate these common obstacles effectively.

What is Python web scraping?

Python web scraping is the process of automatically extracting information from websites using Python programming. It typically involves sending HTTP requests to web pages, parsing the HTML content, and retrieving specific data, such as text, images, or links. Common libraries used for web scraping in Python include BeautifulSoup, Scrapy, and Requests. Web scraping is widely used for tasks like data analysis, market research, and price monitoring, but it's important to follow website terms of service and legal guidelines.

What are the key skills and qualifications needed to thrive as a Python web scraping specialist, and why are they important?

To excel in Python web scraping, you need strong programming skills in Python, a solid understanding of HTML/CSS, and experience with data extraction techniques. Familiarity with libraries such as Beautiful Soup, Scrapy, Selenium, and tools for data storage like SQL or Pandas is typically required. Attention to detail, problem-solving abilities, and ethical judgment are important soft skills for overcoming technical challenges and ensuring compliance with site policies. These skills are crucial to efficiently gather accurate, legal data from websites and transform it into actionable insights.

What is the difference between Python Web Scraping vs Data Analyst?

AspectPython Web ScrapingData Analyst
Required SkillsPython, libraries like BeautifulSoup, ScrapyExcel, SQL, data visualization tools
Work EnvironmentProgramming, scripting, automationData interpretation, reporting
Industry UsageWeb data extraction, automation projectsBusiness insights, decision-making

Python Web Scraping focuses on extracting data from websites using programming skills, while Data Analysts interpret and visualize data for business insights. Both roles require analytical thinking but differ in technical tools and daily tasks.

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What are the most commonly searched types of Python Web Scraping jobs in Virginia?

The most popular types of Python Web Scraping jobs in Virginia are:

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For Python Web Scraping jobs in Virginia, the most frequently searched job titles are:

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The top searched job categories for Python Web Scraping jobs in Virginia are:

Python Web Scraping jobs near you
Infographic showing various Python Web Scraping job openings in Virginia as of August 2026, with employment types broken down into 5% Internship, 65% Full Time, 16% Part Time, and 14% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $119,364 per year, or $57.4 per hour.

Data Scientist - Senior

GRVTY

Falls Church, VA • On-site

Full-time

Re-posted 17 days ago

Job description

What Impact You'll Have

GRVTY is seeking a motivated and experienced Data Scientist to perform data analysis via statistical and quantitative methods, develop visualizations to support decision making, and build software to enable thorough monitoring and management of data pipeline tasks. The ideal candidate brings deep expertise in data systems and a passion for solving complex analytical problems in support of Machine Learning model development and operational intelligence missions. This role will help accelerate the implementation of the NGA Maven Data Strategy and drive cross-departmental collaboration to enhance workflows and deliver greater productivity across labeling and imagery curation efforts.

What You'll be Owning

  • Integrate emerging sensors and platforms into existing data pipelines and workflows, including:
    • Developing pipelines and relevant data structures for emerging capabilities
    • Incorporating new data types into existing data workflows
  • Assess potential differences in metadata, data format, and data structure characteristics regarding changes to:
    • Databases and schemas
    • APIs and other ETL-related processes
    • Ingestion and movement of data within the existing data operations pipelines
  • Conduct analysis of how emerging data impacts overall program data holdings from the perspective of:
    • Machine Learning model development
    • Test and evaluation use cases
    • Real-world operational use cases
  • Evaluate and recommend solutions for partitioning new data types into training, test, and validation splits for effective ML model development and performance evaluation
  • Lead the design and application of methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems
  • Lead projects using advanced mathematical, statistical, and scientific techniques to:
    • Examine complex mission and operational problems
    • Create insights from data
  • Build web scraping algorithms for imagery curation in accordance with customer data priorities
  • Integrate multiple data and intelligence sources in various formats for imagery curation to address gaps and meet project priorities
  • Support data analytics, data cleansing, analyst workflow efficiencies, and ETL transformation capabilities
  • Utilize statistical and analytic methods to support answering intelligence requirements and mission objectives
  • Build and integrate analytic tools and algorithms for imagery curation, acquisition, and chipping
  • Design methods and mechanisms to track, report, and monitor mission-specific objectives to maintain custody of training data priorities
  • Build software tools to manage labeling campaigns, including:
    • Tracking unlabeled and labeled data and campaign status
    • Transferring label task information via API-based movement between platforms
  • Build software tools to:
    • Filter and visualize data geospatially
    • Allow feedback entry and data analysis
    • Integrate with existing data management platforms
  • Conduct analysis of overall data holdings to support development of performant AI/ML models satisfying operational user requirements
  • Evaluate, monitor, and provide recommendations on training, test, and validation data splits for effective model development and performance evaluation

What You Must Have

  • Active TS/SCI Clearance with the ability to obtain a CI/Poly
  • Experience working with AI/ML technologies and data systems
  • Experience working with multiple file types including:
    • Geospatial file formats
    • JSON, XML, and related formats
  • Experience in quantitative analysis and data operations, including:
    • Developing visualizations and processing complex data to create data-driven insights
    • Data manipulation and ETL procedures
    • Working knowledge of SQL and NoSQL database technologies
  • Development experience in Python and other languages for data cleaning and manipulation

What Would be Nice to Have

  • Experience applying Natural Language Processing (NLP) algorithms to extract data from documents
  • Experience with enterprise NGA analytic modernization efforts such as SOM, Computer Vision, automated collection, or automated reporting, along with data standardization best practices
  • Demonstrated expertise in math, statistics, and quantitative analysis, including analytic techniques such as classification, regression, clustering, data reduction, and causal modeling

Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.
We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth.
Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.

Virginia Pay Range
$160,000—$190,000 USD

Why Choose GRVTY

The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world.

We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives.

At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance.

• Robust health plan including medical, dental, and vision

• Health Savings Account with company contribution

• Annual Paid Time Off and Paid Holidays

• Paid Parental Leave

• 401k with generous company match

• Training and Development Opportunities

• Award Programs

• Variety of Company Sponsored Events

EEO Statement

GRVTY, is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability.

Anyone requiring reasonable accommodations should email recruiting@grvty.com or call 703-544-7930 with requested details.  A member of the HR team will respond to your request within 2 business days. 

Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) 

Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.