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Data Scraping Jobs in Washington (NOW HIRING)

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 ...

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 ...

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.

Three (3) or more years' experience in in mining or scraping large amounts of data from open and dark web; perform ETL (extract, transform, load) processes on collected data.  * Three (3) or more ...

Three (3) or more years' experience in in mining or scraping large amounts of data from open and dark web; perform ETL (extract, transform, load) processes on collected data. * Three (3) or more ...

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 ...

Data Engineer

Chantilly, VA · On-site

$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 ...

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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:
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, Web Scraping

10a Labs

Washington, DC • On-site

$105K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


Job description

About 10a Labs: 10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. Our adversarial red teaming, model evaluations, and intelligence collection enable engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely.
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