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Data Scraping Jobs in Virginia (NOW HIRING)

Redhorse Corporation

Full Stack Developer

Reston, VA · On-site

Experience with legacy web service APIs such as SOAP as well as text-based and web-based data scraping. * Ability to troubleshoot application networking, routing, client certificates and errors.

New

Redhorse Corporation

Full Stack Developer

Reston, VA

$140K - $180K/yr

Experience with legacy web service APIs such as SOAP as well as text-based and web-based data scraping. * Ability to troubleshoot application networking, routing, client certificates and errors.

New

Redhorse Corporation

Full Stack Developer

Reston, VA · On-site

Experience with legacy web service APIs such as SOAP as well as text-based and web-based data scraping. * Ability to troubleshoot application networking, routing, client certificates and errors.

New

Leidos

Data Scientist

Mclean, VA · On-site

$107K - $195K/yr

Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.

Leidos

Data Scientist

Mclean, VA · On-site

$107K - $195K/yr

Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.

Staffed4U

Data Engineer

Chantilly, VA · On-site

$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 ...

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Data Scraping information

What is a data scraping?

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 are the key skills and qualifications needed to thrive in data scraping, 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 typical challenges faced in data scraping, 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 are the most commonly searched types of Data Scraping jobs in Virginia?

The most popular types of Data Scraping jobs in Virginia are:

What are popular job titles related to Data Scraping jobs in Virginia?

For Data Scraping jobs in Virginia, the most frequently searched job titles 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:

Data Scraping jobs near you
Infographic showing various Data Scraping job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution.

JIATF 401 Data Engineer

CACI International, Inc.

Alexandria, VA • On-site

$122K - $147K/yr

Full-time

Medical, Retirement, PTO

Re-posted 22 days ago

Job description

Job Title: JIATF 401 Data Engineer
Job Category: Information Technology
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI
Employee Type: Regular
Percentage of Travel Required: Up to 50%
Type of Travel: Continental US
* * *
The Opportunity:
CACI is seeking a Data Engineer to support Joint Interagency Task Force 401 (JIATF 401). The Data Engineer will design, develop, and maintain data architectures, analytical pipelines, and AI-enabled solutions that transform large volumes of operational, intelligence, and mission data into actionable insights for decision-makers. This position requires expertise in aggregating, organizing, analyzing, and visualizing structured and unstructured data from multiple sources to support Counter-Unmanned Aircraft Systems (C-UAS) operations, capability development, operational assessments, acquisition decisions, and strategic planning efforts. The Data Engineer will leverage advanced analytics, automation, and artificial intelligence tools to identify relevant information, uncover trends, and deliver data products that enable informed operational and procurement decisions.
Responsibilities:
  • Design, develop, and maintain scalable data pipelines that collect, integrate, process, and manage data from multiple operational, intelligence, and enterprise sources.
  • Utilize Maven Smart System (MSS), Palantir, Power BI, Python, and AI-enabled analytical tools to support mission analysis, operational assessments, and decision-making.
  • Aggregate, clean, normalize, and transform large datasets to ensure data quality, accessibility, and usability across the organization.
  • Develop dashboards, reports, data visualizations, and common operating picture products that communicate complex information in a clear and actionable manner.
  • Leverage artificial intelligence and machine learning tools to automate data processing, information extraction, pattern recognition, and predictive analytics.
  • Conduct data mining, data scraping, and data exploitation activities to identify relevant information from large volumes of structured and unstructured data.
  • Develop and maintain data models, databases, data dictionaries, and metadata repositories to support enterprise data management requirements.
  • Collaborate with engineers, analysts, operators, and stakeholders to identify data requirements and develop analytical solutions supporting mission objectives.
  • Develop performance metrics and analytical frameworks to assess operational effectiveness, capability gaps, system performance, and mission outcomes.
  • Produce technical documentation, data management plans, analytical reports, and executive-level briefings to support senior military and civilian leadership.
  • Ensure data integrity, security, and compliance with applicable policies, standards, and governance requirements.
  • Identify opportunities to improve data architectures, automation workflows, and analytical methodologies to increase efficiency and effectiveness.
  • Support operational assessments, technology evaluations, capability demonstrations, and acquisition efforts through data-driven analysis and decision support.
  • Maintain awareness of emerging AI technologies, data analytics methodologies, and mission-relevant data sources to enhance organizational capabilities.

Qualifications:
Required:
  • Active Top Secret/SCI Clearance.
  • BA/BS with 4+ years; AA/AS with 8+ years; or HS/GED with 10+ years.
  • Demonstrated experience working with large, complex datasets and enterprise-level data environments.
  • Experience utilizing Maven Smart System (MSS), Palantir, or similar data integration and analytics platforms.
  • Proficiency with Python for data engineering, automation, analytics, and data transformation activities.
  • Experience developing interactive dashboards and data visualization products using Power BI or similar business intelligence platforms.
  • Experience leveraging AI-enabled tools, machine learning applications, or advanced analytics solutions to support operational decision-making.
  • Knowledge of ETL/ELT processes, data integration methodologies, database management, and data architecture principles.
  • Experience collecting, organizing, scraping, cleansing, and exploiting structured and unstructured data from multiple sources.
  • Strong proficiency with Microsoft Office Suite, including the ability to develop technical documentation, analytical reports, data products, and executive-level briefings.
  • Ability to translate complex analytical findings into concise, actionable recommendations for senior military and civilian leadership.
  • Experience developing performance metrics, analytical frameworks, and decision-support products.
  • Proven ability to collaborate with cross-functional teams in dynamic operational environments.

Desired:
  • Experience supporting Department of Defense, Intelligence Community, Homeland Security, or Counter-Unmanned Aircraft Systems (C-UAS) organizations.
  • Familiarity with intelligence data sources, sensor data, operational data feeds, and mission command systems.
  • Experience supporting CJADC2, data fusion, common operating picture development, or operational decision-support systems.
  • Knowledge of cloud-based data environments, distributed computing architectures, and enterprise data governance practices.
  • Experience integrating AI capabilities into operational workflows and mission support activities.

What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$86,600 - $181,800
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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