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Data Scraping Jobs in Virginia (NOW HIRING)

Web Scraping Engineer- 3566726

Arlington, VA · On-site +1

$105K - $110K/yr

The position is responsible for extracting data from various websites and APIs, ensuring data ... Develop and maintain web scraping scripts and tools to extract data from websites and APIs.

Three (3) or more years' experience in in mining or scraping large amounts of data from open and dark web; perform ETL (extract, transform, load) processes on collected data.  * Three (3) or more ...

Three (3) or more years' experience in in mining or scraping large amounts of data from open and dark web; perform ETL (extract, transform, load) processes on collected data. * Three (3) or more ...

Data Engineer

Chantilly, VA

$118K - $142K/yr

Develop and maintain web scraping and data ingestion workflows to collect and process open-source data. * Transform collected information into structured datasets and visualizations for stakeholder ...

Big Data Engineer

Chester, VA · On-site

$104K - $156K/yr

Collaboration & Documentation · Partner with Reporting & BI on semantic model contracts, RLS, and performance SLAs; avoid direct system scraping. · Produce "readme" docs, data dictionaries ...

Collaboration & Documentation · Partner with Reporting & BI on semantic model contracts, RLS, and performance SLAs; avoid direct system scraping. · Produce "readme" docs, data dictionaries ...

Data Engineer

Chantilly, VA

$118K - $142K/yr

Develop and maintain web scraping and data ingestion workflows to collect and process open-source data. * Transform collected information into structured datasets and visualizations for stakeholder ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Develop and implement web scraping and data ingestion workflows to collect open-source data, integrating content and producing structured datasets and visualizations for analytics and stakeholder ...

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Develop and implement web scraping and data ingestion workflows to collect open-source data, integrating content and producing structured datasets and visualizations for analytics and stakeholder ...

Perform and oversee data engineering tasks such as writing scripts, calling APIs, web scraping, and writing SQL queries to handle large datasets. * Customize and oversee integration tools, warehouses ...

Big Data Engineer

Hopewell, VA · On-site

$104K - $156K/yr

Collaboration & Documentation • Partner with Reporting & BI on semantic model contracts, RLS, and performance SLAs; avoid direct system scraping. • Produce "readme" docs, data dictionaries ...

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Data Scraping information

Will AI replace web scraping?

AI can automate and enhance web scraping tasks by improving data extraction accuracy and handling complex websites. However, human oversight remains important for managing ethical considerations, adapting to website changes, and ensuring data quality, so AI is more likely to augment than fully replace web scraping jobs.

How much do you get paid for data scraping?

Data scraping jobs typically pay between $15 and $50 per hour, depending on experience, complexity of the project, and the tools used. Freelance data scrapers may charge per project or per data volume, with rates varying accordingly.

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 is a data scraping job?

A data scraping job involves writing scripts or using tools to extract information from websites or online sources. It requires knowledge of programming languages like Python or JavaScript, and understanding of web structures and APIs to collect data efficiently and accurately.

Is data scraping profitable?

Data scraping as a job can be profitable depending on the industry, complexity of the data, and the skill level required. Skilled data scrapers who use tools like Python, BeautifulSoup, or Scrapy and understand legal considerations can command higher rates or salaries. Profitability also depends on the demand for data and the ability to deliver accurate, timely results efficiently.

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 Virginia? The most popular types of Data Scraping jobs in Virginia are:
What job categories do people searching Data Scraping jobs in Virginia look for? The top searched job categories for Data Scraping jobs in Virginia are:
Infographic showing various Data Scraping job openings in Virginia as of June 2026, with employment types broken down into 2% Internship, 20% Full Time, 1% Part Time, 9% Temporary, and 68% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Web Scraping Engineer- 3566726

Web Scraping Engineer- 3566726

Computer Technologies Consultants, Inc.

Arlington, VA • On-site

Full-time

Posted 19 hours ago


Job description

Computer Technologies Consultants (CTC) is seeking a Web Scraping Engineer to support the United States Department of State in Arlington, VA.
With offices in Washington DC and San Diego, CA, CTC is a leading technology company providing lifecycle IT, data analytics, cloud managed hosting services, agile software development, DevOps, Test Automation, Cyber Security, and infrastructure solutions. Additionally, we provide Professional Talent Acquisition Services as we proudly support the unique needs of U.S. Defense, Intelligence, and Federal Civilian agencies as well as Fortune 1000 companies.
Got the Government Contractor Blues? Looking for a company that cares and goes beyond just filling another contract billet? Well look no further! Experience this family-oriented company who takes pride in you and will help you grow where your passions lie. Holding many Defense & Federal government contracts around the globe, with our client you have the opportunity to take on new and evolving challenges, aim beyond what you think you are capable of and work in collaborative, dynamic, and high-tempo environments. Our clients' employees are their most valued asset and they invest in their people because they are in it for the long term. They are committed to your success and well-being and offer competitive benefits packages, salaries, bonus/award programs, and a high potential for professional growth and job opportunities world-wide.
Why Should You Be Interested?
  • Direct hire position
  • Competitive compensation and comprehensive benefits
  • Mid-size company with room for growth

Position Title: Web Scraping Engineer
Position Location: This position is currently remote, with occasional meetings in Arlington, VA.
Daily Responsibilities:
  • Position supports the development and maintenance of the agency's web scraping infrastructure. The position is responsible for extracting data from various websites and APIs, ensuring data quality and accuracy, and optimizing the scraping process for efficiency. Duties include:
  • Develop and maintain web scraping scripts and tools to extract data from websites and APIs.
  • Collaborate with cross-functional teams to understand data requirements and implement scraping solutions accordingly.
  • Monitor and troubleshoot scraping processes to ensure data quality and accuracy.
  • Optimize scraping scripts for performance and efficiency, considering factors such as speed, scalability, and resource utilization.
  • Stay up-to-date with the latest web scraping techniques, tools, and best practices.
  • Conduct data analysis and validation to ensure the integrity of scraped data.
  • Collaborate with data engineering and data science teams to integrate scraped data into our data pipelines and systems.
  • Document and communicate technical solutions, processes, and best practices to team members.

Required Years of Experience (min):
  • 3+ years of professional experience in web scraping or a similar role.

Required Degree:
  • BS/BA degree in Computer Science, Information Sciences, or related IT discipline OR Allowable Substitution: Additional ten (10) years of related professional experience can be substituted for a BS/BA degree.

Required Experience:
  • Proficiency in Python and Java and experience with web scraping libraries such as BeautifulSoup, Scrapy, or Selenium.
  • Knowledge of AI/machine learning techniques for data extraction and classification.
  • Experience incorporating AI into Quality Control solutions and AI/ML techniques on an open-source application to web scrape for data extraction and classification.
  • Understanding of HTML, CSS, and JavaScript to navigate and interact with websites.
  • Experience working with APIs and handling different data formats (JSON, XML, etc.).
  • Familiarity with database systems and SQL for data storage and retrieval.
  • Familiarity of data cleaning and preprocessing techniques to ensure data quality.
  • Strong problem-solving skills and ability to troubleshoot and debug scraping issues.
  • Excellent communication and collaboration skills to work effectively in a team environment.
  • Attention to detail and ability to handle large volumes of data efficiently.

Preferred Experience:
  • Experience with cloud platforms for scalable web scraping infrastructure.
  • Familiarity with data visualization tools and techniques.
  • Understanding of legal and ethical considerations related to web scraping.

Required Clearance:
  • Secret clearance

Pay Information
TBD
Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.
Computer Technologies Consultants, Inc. is an Equal Opportunity Employer that provides employment opportunities for all qualified applicants without regard to race, color, religion, gender identity and/or expression, sexual orientation, age, mental or sensory differing abilities, protected veteran status, sex, national origin, or any other characteristic protected by applicable law. Computer Technologies Consultants, Inc. is devoted to diversity, equity, and inclusion.