ZipRecruiter

Log In

1

Data Scraping Jobs in Washington (NOW HIRING)

Edgesource

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 ...

Edgesource

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 ...

Prescient Edge

Senior Data Scientist

Mclean, VA · On-site

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 ...

Babel Street

Software Engineer III

Reston, VA · On-site

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 ...

Babel Street

Software Engineer III

Reston, VA · 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 ...

Accenture Federal Services

Python / AWS Developer

Chantilly, VA · On-site

$51.50 - $71/hr

The primary task would be to analyze websites to determine the best way to capture data and files ... Experience with AWS CDK, DevOps, and/or Web Scraping. Security Clearance : * Must have an active TS ...

next page

Showing results 1-20

All JobsData Scraping JobsData Scraping Jobs in Washington

Data Scraping information

See Washington salary details

$12

$32

$71

How much do data scraping jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for data scraping in Washington is $32.03, according to ZipRecruiter salary data. Most workers in this role earn between $20.39 and $39.23 per hour, depending on experience, location, and employer.

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 Washington? The most popular types of Data Scraping jobs in Washington are:
What are popular job titles related to Data Scraping jobs in Washington? For Data Scraping jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Scraping jobs in Washington look for? The top searched job categories for Data Scraping jobs in Washington are:
Data Scraping jobs near you
Infographic showing various Data Scraping job openings in Washington as of June 2026, with employment types broken down into 2% Internship, 20% Full Time, 5% Part Time, 9% Temporary, and 64% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $66,616 per year, or $32 per hour.
Data Engineer

Data Engineer

Edgesource

Chantilly, VA • On-site

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 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.

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:
  • 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.

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:
Edgesource Corporation is an affirmative action and equal opportunity employer. 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 or by phone at (703) 837-0550.

Apply