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Web Scraping Engineer Jobs in Reston, VA (NOW HIRING)

We are looking for a Senior Python Engineer with a "hacker" mindset to join our team as a Software Engineer III. This role is dedicated to large-scale web scraping and data harvesting. If you have ...

We are looking for a Senior Python Engineer with a "hacker" mindset to join our team as a Software Engineer III. This role is dedicated to large-scale web scraping and data harvesting. If you have ...

Software Engineer III

Reston, VA ยท On-site +1

$59.75 - $80.25/hr

We are looking for a Senior Python Engineer with a "hacker" mindset to join our team as a Software Engineer III. This role is dedicated to large-scale web scraping and data harvesting. If you have ...

Python / AWS Developer

Chantilly, VA ยท On-site

$52 - $71.50/hr

The Python / AWS Developer role involves designing and configuring applications, developing modular ... Web Scraping Company : Accenture Federal Services is a leading US federal services company and ...

Data Acquisition ETL Engineer (TS/SCI) Reston, VA, USA Full-time Clearance: Top Secret/SCI Serve as ... Experience with web scraping, including Document Object Model (DOM) exploration * Knowledge of the ...

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Web Scraping Engineer information

See Reston, VA salary details

$12

$61

$90

How much do web scraping engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for web scraping engineer in Reston, VA is $61.39, according to ZipRecruiter salary data. Most workers in this role earn between $53.27 and $69.52 per hour, depending on experience, location, and employer.

What does a web scraping engineer do?

A Web Scraping Engineer designs and develops software tools or scripts to automatically extract data from websites. They work with programming languages like Python and use libraries such as BeautifulSoup or Scrapy to gather and process web data efficiently. In addition to building scrapers, they also handle challenges such as dealing with website restrictions, CAPTCHAs, and ensuring compliance with legal and ethical guidelines. Their work is often used for market research, data analysis, or feeding information into business applications.

What are some common challenges faced by web scraping engineers when extracting data from dynamic websites?

Web Scraping Engineers often encounter challenges such as navigating websites that use JavaScript to load content dynamically, dealing with anti-bot measures like CAPTCHAs or IP blocking, and ensuring data accuracy as website structures frequently change. To address these issues, engineers typically use headless browsers, rotating proxies, and robust error handling strategies. Staying up-to-date with the latest web technologies and adapting scripts proactively are essential for long-term success in this role.

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

To thrive as a Web Scraping Engineer, you need strong programming skills (especially in Python), knowledge of data extraction techniques, and familiarity with web protocols and HTML structure. Expertise with tools like Scrapy, BeautifulSoup, Selenium, and experience with APIs or anti-bot evasion techniques is typically required. Attention to detail, problem-solving, and strong analytical thinking are essential soft skills in this field. These skills ensure efficient, ethical, and reliable extraction of data from diverse web sources while navigating technical and legal complexities.

What is the difference between Web Scraping Engineer vs Data Engineer?

AspectWeb Scraping EngineerData Engineer
Primary FocusDeveloping and maintaining web scraping tools to extract data from websitesBuilding and managing data pipelines and infrastructure for data storage and processing
Skills & CertificationsPython, APIs, HTML, CSS, web scraping libraries (BeautifulSoup, Scrapy)SQL, ETL tools, cloud platforms, programming (Python, Java)
Work EnvironmentTech companies, data-driven startups, research projectsLarge enterprises, data warehouses, cloud environments
Industry UsageData collection for analytics, research, competitive analysisData integration, analytics, machine learning pipelines

While both roles involve working with data, a Web Scraping Engineer specializes in extracting data from websites using scraping tools, whereas a Data Engineer focuses on building data pipelines and infrastructure for storing and processing large datasets. The roles often overlap in skills like Python programming but serve different core functions within data ecosystems.

What are popular job titles related to Web Scraping Engineer jobs in Reston, VA?

For Web Scraping Engineer jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Web Scraping Engineer jobs in Reston, VA look for?

The top searched job categories for Web Scraping Engineer jobs in Reston, VA are:

Web Scraping Engineer (Mid-Level)

Systems Plus, Inc.

Arlington, VA โ€ข On-site

$80 - $100/hr

Other

Posted 16 days ago


Job description

Position Title: IT Service Desk Specialist โ€“ Level IIโ€“MEADE

Position Type: Full Time, Remote (Telework in Metro DC area)

Position Location: Arlington, VA

Tracking Code: 01131

Daily Responsibilities
  • Positionsupports the development and maintenance of the agencyโ€™sweb scraping infrastructure.The positionis responsible forextracting data from various websites and APIs, ensuring data quality and accuracy, andoptimizingthe scraping process for efficiency.Dutiesinclude:
  • Develop andmaintainweb 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.
  • Optimizescraping scripts for performance and efficiency, considering factors such as speed, scalability, and resourceutilization.
  • Stayup-to-datewith 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 Experience
  • 3+ years of professional experience in web scraping or a similar role.
  • Proficiencyin Pythonand Javaand experience with web scraping libraries such asBeautifulSoup, Scrapy, or Selenium.
  • Knowledge of AI/machine learning techniques for data extraction and classification.
  • Experience working with APIs and handling different data formats (JSON, XML, etc.).
  • Familiarity with database systems and SQL for data storage and retrieval.
  • Familiarityof 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 oflegal and ethical considerations related to web scraping.
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 Clearance
  • Secret
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