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Data Scraping Jobs in Washington (NOW HIRING)

10a Labs

Data Engineer, Web Scraping

Washington, DC · Remote

$105K - $125K/yr

Conduct ad hoc web scraping and data collection to support research and intelligence initiatives; * Prepare data for further analysis, including data cleaning, transformation, anonymization, and ...

10a Labs

Data Engineer, Web Scraping

Washington, DC · On-site

$105K - $125K/yr

Conduct ad hoc web scraping and data collection to support research and intelligence initiatives; * Prepare data for further analysis, including data cleaning, transformation, anonymization, and ...

CTC

Web Scraping Engineer- 3566726

Arlington, VA · On-site +1

$105K - $110K/yr

The position is responsible for extracting data from various websites and APIs, ensuring data ... Develop and maintain web scraping scripts and tools to extract data from websites and APIs.

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

$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

$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 ...

GRVTY

Data Scientist - Senior

Falls Church, VA · On-site

Build web scraping algorithms for imagery curation in accordance with customer data priorities * Integrate multiple data and intelligence sources in various formats for imagery curation to address ...

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How much do data scraping jobs pay per hour?

As of Aug 7, 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.

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 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 most commonly searched types of Data Scraping jobs in Washington? The most popular types of Data Scraping jobs in Washington are:
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Data Scraping jobs near you
Infographic showing various Data Scraping job openings in Washington as of August 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $66,616 per year, or $32 per hour.

Data Engineer, Web Scraping

10a Labs

Washington, DC • Remote

$105K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago

Job description

In this role, you will:

  • Design, implement, and optimize end-to-end data pipelines for scraping and processing structured and unstructured data using Google Cloud Platform (or similar) and best practices; 
  • Conduct ad hoc web scraping and data collection to support research and intelligence initiatives;
  • Prepare data for further analysis, including data cleaning, transformation, anonymization, and masking;
  • Contribute to the development of internal and external APIs, following best practices; 
  • Collaborate with ML engineers, other data engineers, and software developers to deliver actionable insights and functional tools, including internal and external dashboards, APIs, and data dumps; and 
  • Drive other critical initiatives. 

Requirements:

  • Degree (or equivalent work experience) in Computer Science, Engineering, Information Science, Data Science or a related field (graduate degree preferred)
  • 2+ years of professional experience in data engineering or a closely related field
  • Ability to communicate complex technical ideas clearly to non-technical audiences
  • Proficiency in Python, SQL
  • Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy)
  • Experience with Google Cloud Platform (or similar), including storage and database services (e.g., Cloud Storage, CloudSQL, Cloud Spanner) and workflow orchestration (e.g., Cloud Composer/Airflow, Cloud Run, Pub/Sub)
  • Experience building and managing data pipelines, especially for text data
  • Comfort working in fast-moving, high-impact environments, such as startups, AI research labs, or security-focused teams

Compensation & Benefits:

  • Salary Range: $105K-$125K, depending on experience and location
  • Bonus: Performance-based annual bonus
  • Professional Development: Support for conferences, continuing education, or leadership training
  • Work Environment: Fully remote, U.S.-based
  • Health Benefits: Comprehensive health, dental, and vision coverage
  • Time Off: Generous PTO and paid holiday schedule

Retirement: 401(k) plan

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