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

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Data Scientist

Rosslyn, VA · On-site

$60/hr

... and web scraping. * Develop data and analytics solutions using AWS and/or Azure, including Databricks, Azure Data Factory, and Azure Data Lake. * Use Azure DevOps and/or GitHub to support source ...

Data Scientist

Dulles, VA · On-site

$107K - $195K/yr

Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO ... Perform web scraping and apply various techniques for processing unstructured data. * Leverage ...

Data Scientist

Oakton, VA · On-site

$107K - $195K/yr

Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO ... Perform web scraping and apply various techniques for processing unstructured data. * Leverage ...

Data Scientist

Germantown, MD · On-site

$107K - $195K/yr

Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO ... Perform web scraping and apply various techniques for processing unstructured data. * Leverage ...

Data Scientist

Alexandria, VA · On-site

$107K - $195K/yr

Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO ... Perform web scraping and apply various techniques for processing unstructured data. * Leverage ...

Data Scientist

Fairfax, VA · On-site

$107K - $195K/yr

Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO ... Perform web scraping and apply various techniques for processing unstructured data. * Leverage ...

Data Scientist

Springfield, VA · On-site

$107K - $195K/yr

Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO ... Perform web scraping and apply various techniques for processing unstructured data. * Leverage ...

Data Scientist

Washington, DC · On-site

$107K - $195K/yr

Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO ... Perform web scraping and apply various techniques for processing unstructured data. * Leverage ...

Showing results 41-60

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 3, 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:

Data Scientist

The Midtown Group

Rosslyn, VA • On-site

$60/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 7 days ago

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Key responsibilities

  • Develop, manage, and optimize automated data pipelines to support reliable analytics and data quality.

  • Extract, clean, transform, normalize, validate, and integrate data from various sources using appropriate tools and methods.

  • Develop, train, evaluate, deploy, and maintain machine learning and AI models.


Job description

We are seeking a Data Scientist to support a federal government client by applying advanced data analytics, machine learning, and artificial intelligence to complex datasets and mission-critical challenges. The Data Scientist will develop data pipelines, integrate diverse data sources, build analytical models, and translate complex findings into actionable insights.


Responsibilities

  • Develop, manage, and optimize automated data pipelines to support reliable analytics and data quality.
  • Extract, clean, transform, normalize, and validate structured and unstructured data.
  • Integrate data from flat files, relational databases, APIs, external systems, and other sources using JDBC/ODBC, REST APIs, and web scraping.
  • Develop data and analytics solutions using AWS and/or Azure, including Databricks, Azure Data Factory, and Azure Data Lake.
  • Use Azure DevOps and/or GitHub to support source control, CI/CD pipelines, and Agile development.
  • Apply Python, SQL, R, and/or JavaScript to develop datasets, models, dashboards, visualizations, and reports.
  • Apply advanced analytics including machine learning, AI, NLP, predictive analytics, statistical modeling, and data/text mining.
  • Develop, train, evaluate, deploy, and maintain machine learning and AI models.
  • Use PySpark/PySpark SQL to process and analyze large-scale datasets.
  • Identify trends, anomalies, patterns, and risks to support audit, investigative, oversight, and fraud, waste, and abuse activities.
  • Translate technical findings into clear narratives, recommendations, visualizations, and presentations.
  • Develop technical documentation, requirements, test plans, methodologies, and training materials.
  • Collaborate with technical teams, stakeholders, and management and provide guidance on data access, quality, storage, and analytics.


Qualifications

Required

  • US Citizenship required
  • 1+ year of experience working with AWS and/or Azure services, such as Databricks, Azure Data Factory, and Azure Data Lake.
  • Experience with Azure DevOps and/or GitHub, CI/CD pipelines, and Agile methodologies.
  • Experience developing and optimizing automated data pipelines and ETL/ELT processes.
  • Proficiency with Python and SQL; experience with R and/or JavaScript is a plus.
  • Experience working with structured and unstructured data and integrating multiple data sources.
  • Knowledge of machine learning, artificial intelligence, NLP, predictive analytics, statistical analysis, or data/text mining.
  • Strong analytical, problem-solving, technical writing, and communication skills.
  • Ability to work independently and effectively within a collaborative team environment.

Preferred

  • Experience with contract, procurement, and accounts payable (AP) data to identify trends, anomalies, and potential risks.
  • Experience using PySpark/PySpark SQL for large-scale data processing.
  • Experience with data lakes, data lakehouses, relational databases, and business intelligence tools.
  • Experience supporting federal audit, investigation, oversight, fraud, waste, or abuse-related activities.
  • Experience developing predictive models, NLP solutions, dashboards, and investigative or analytical visualizations.
  • Experience presenting technical findings, training materials, or conference presentations to large audiences.


The Midtown Group 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. We are a small, woman-owned business certified by the Women’s Business Enterprise National Council (WBENC). Operating from our headquarters in Washington, DC, we provide trusted staffing services nationwide. Our clients include thousands of the most prestigious Fortune 500 companies, law firms, financial organizations, tech innovators, non-profits, and lobbying firms, as well as federal, state and local government agencies.