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Web Scraping Engineer Jobs in Washington (NOW HIRING)

Edgesource Corporation

Data Engineer

Chantilly, VA · On-site

$200K - $220K/yr

Develop and implement web scraping and data ingestion workflows to collect open-source data ... Support feature engineering, aggregations, and transformations at scale. * Assist in deploying ML ...

Leidos

Data Scientist

Mclean, 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 ...

Leidos

Data Scientist

Mclean, 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 ...

Leidos

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 ...

Leidos

Data Scientist

Dunn Loring, 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 ...

Leidos

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 ...

Leidos

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 ...

Leidos

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 ...

Leidos

Data Scientist

Bethesda, 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 ...

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Web Scraping Engineer information

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 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 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 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 popular job titles related to Web Scraping Engineer jobs in Washington? For Web Scraping Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Web Scraping Engineer jobs in Washington look for? The top searched job categories for Web Scraping Engineer jobs in Washington are:
What cities in Washington are hiring for Web Scraping Engineer jobs? Cities in Washington with the most Web Scraping Engineer job openings:
Web Scraping Engineer jobs near you

Data Engineer

Edgesource Corporation

Chantilly, VA • On-site

$200K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Job description

Company Overview
For over 25 years, Edgesource Corporation has served as an innovative technology service provider for the Department of Defense (DOD), Department of Homeland Security (DHS), Department of State (DOS), the U.S. Intelligence Community, Law Enforcement, and other federal, state, and commercial clients locally, nationally, and abroad. From providing boutique technical solutions in support of the DOD Counter Unmanned Aerial Systems (CUAS) mission set to addressing the most critical Cybersecurity threats facing our nation as a prime contractor with the DHS Cybersecurity & Infrastructure Security Agency (CISA), a career at Edgesource is an opportunity to do meaningful, interesting, and impactful work.
Position Overview
Client is seeking a data engineer to grow our team performing cutting edge client work in mission space. With overwhelming amounts of large data, client is seeking a data engineer to support data structuring for implementation into a larger enterprise system that is being custom developed for client. This position is funded for an initial 9-12-month period, aligned with defined mission deliverables and system development timelines. Development is performed on client site.
Responsibilities
  • Design, develop, and maintain ETL/ELT pipelines for batch and real-time processing using Python and SQL.
  • Integrate data from multiple sources, including databases, APIs, streaming platforms, PDFs, and MS Office files.
  • Build scalable data architectures to support analytics and machine learning workloads.
  • Optimize data processing and queries for performance and cost efficiency in AWS S3.
  • Exposure to PySpark or other big data frameworks is a plus for future pipeline scalability.
  • 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 consumption.

Data Management & Optimization
  • Collect, clean, and validate large volumes of structured and unstructured data.
  • Track data versions, implement data quality checks, and ensure data reliability.
  • Design and optimize data storage in AWS S3, including raw, intermediate, and final datasets.
  • Implement data governance practices, including documentation, cataloging, lineage, and security.
  • Ensure compliance security standards.

Collaboration with Data Science & Stakeholders
  • Work closely with Data Scientists, Analysts, and stakeholders to understand data requirements.
  • Prepare clean, structured, and feature-ready datasets for analytics and machine learning.
  • Support feature engineering, aggregations, and transformations at scale.
  • Assist in deploying ML models to production, ensuring monitoring, versioning, and performance optimization.
  • APIs, Containers & CI/CD
  • Integrate with REST APIs.
  • Utilize Docker, Kubernetes, Git, and CI/CD pipelines to deploy and manage workflows.

Documentation & Communication
Document pipelines, data schemas, and transformations clearly.
Communicate technical concepts effectively with cross-functional teams.
Participate in code reviews and promote best practices across the team.
Required Qualifications
  • Active TS/SCI FSP
  • 3-5 years + of professional experience in data engineering or related roles.
  • Strong collaboration skills to work effectively with Data Scientists, Analysts, and Engineering teams.
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • Detail-oriented, curious, and committed to data quality.
  • Capable of managing multiple priorities in a fast-paced environment.
Technical Skills
  • Python, SQL, and PySpark (highly desired) for data processing and pipeline development.
  • Elastic/OpenSearch for search and analytics solutions.
  • Experience with AWS cloud services and Linux environments.
  • Git for version control and collaborative development.
  • Understanding of machine learning workflows and MLOps concepts.

Desired Qualifications (NOT REQUIRED)
  • Hands-on experience modeling, querying, and optimizing graph databases, especially Neo4j highly desired

Working at Edgesource
As an ISO 9001:2015 certified and CMMI Level 3 appraised small business, Edgesource specializes in providing a variety of technical solutions to include software development, database services, enterprise networking, data center virtualization, and management support. We are always seeking top-talent to join our team in helping to address the most critical technical challenges facing our nation.
At Edgesource, we understand that our employees are our greatest asset, and as such we offer a wide array of benefits to support the well-being of our staff to include:
  • Flexible PTO Policy + 11 Paid Holidays
  • Flexible Work Schedules (Remote / Hybrid)
  • Medical / Dental / Vision / Flexible Spending Account (FSA)
  • 401k Plan with Match
  • Tuition & Professional Development Support
  • Commuter Benefits
  • Bonus & Employee Referral Programs
  • Career Growth Opportunities
Disclaimer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Edgesource is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact our Recruiting Department by email at recruiting@edgesource.com or by phone at (703) 837-0550.

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