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Scraping Jobs in Baltimore, MD (NOW HIRING)

Software Engineer

Laurel, MD · On-site

$160K - $200K/yr

... scraping and crawler infrastructure to support continuous data collection - Develop front-end features and dashboards that visualize network and relationship data in an intuitive, performant way ...

Software Engineer

Elkridge, MD · On-site

$160K - $200K/yr

... scraping and crawler infrastructure to support continuous data collection - Develop front-end features and dashboards that visualize network and relationship data in an intuitive, performant way ...

Software Engineer

Columbia, MD · On-site

$160K - $200K/yr

... scraping and crawler infrastructure to support continuous data collection - Develop front-end features and dashboards that visualize network and relationship data in an intuitive, performant way ...

Dishwasher

Sykesville, MD · On-site

$16.53 - $22.32/hr

You will work with other dishwashers as a team, scraping, racking, and washing the service ware, and returning it to the established storage area. Requirements The ideal candidate will meet the ...

Dishwasher

Sykesville, MD · On-site

$16.53 - $22.32/hr

You will work with other dishwashers as a team, scraping, racking, and washing the service ware, and returning it to the established storage area. Requirements The ideal candidate will meet the ...

General Laborer

Baltimore, MD · Remote

$16.50 - $20.50/hr

Operate basic hand and power tools under supervision * Assist with surface prep, including sanding, scraping, priming, or painting where required * Follow all site safety protocols, wear appropriate ...

Relief Operator

White Marsh, MD · On-site

$18.25 - $24.50/hr

Perform general housekeeping tasks - sweeping, scraping, shoveling, wiping, etc. * Changing Stretch wrap and Top Sheets * Operate programs such as SAP, MII, FourKites, RtDuet. to tag downtime events ...

Relief Operator

White Marsh, MD · On-site

$18.25 - $24.50/hr

Perform general housekeeping tasks - sweeping, scraping, shoveling, wiping, etc. * Changing Stretch wrap and Top Sheets * Operate programs such as SAP, MII, FourKites, RtDuet. to tag downtime events ...

Painter I- 2nd Shift

Baltimore, MD · On-site

$18.25 - $24.75/hr

This also includes preparing surfaces (washing, scraping, sanding) and maintaining existing paint through matching and tinting. * Installs, repairs, and maintains drywall, wall texturing, vinyl wall ...

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Scraping information

See Baltimore, MD salary details

$30.2K

$70.4K

$146.3K

How much do scraping jobs pay per year?

As of Sep 5, 2026, the average yearly pay for scraping in Baltimore, MD is $70,447.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,739.00 and $78,409.00 per year, depending on experience, location, and employer.

What is the difference between Scraping vs Data Analyst?

AspectScrapingData Analyst
Required CredentialsBasic programming skills, knowledge of web technologiesDegree in statistics, mathematics, or related field; analytical skills
Work EnvironmentPrimarily technical, focused on coding and data extractionBusiness or corporate setting, analyzing data for insights
Employer & Industry UsageUsed across tech, marketing, research industries for data collectionUsed in finance, marketing, healthcare for data interpretation
Search & Comparison IntentUnderstanding data extraction methods, tools, and techniquesInterpreting data, generating reports, making data-driven decisions

While both roles involve working with data, Scraping focuses on extracting data from websites using programming skills, whereas Data Analysts interpret and analyze data to support business decisions. Scraping is more technical and coding-oriented, while Data Analysts require analytical and statistical expertise.

What is job scraping?

Job scraping involves using automated tools or scripts to collect job postings and related data from websites. It requires knowledge of programming languages like Python and familiarity with web scraping libraries such as BeautifulSoup or Scrapy, often to analyze market trends or compile job listings efficiently.

What are popular job titles related to Scraping jobs in Baltimore, MD?

For Scraping jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Scraping jobs in Baltimore, MD look for?

The top searched job categories for Scraping jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Scraping jobs?

Cities near Baltimore, MD with the most Scraping job openings:

Infographic showing various Scraping job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $70,447 per year, or $33.9 per hour.

Web Scraping Engineer (U.S. Citizen)

Join Our Team

Fulton, MD • On-site

$95K - $105K/yr

Full-time

Re-posted 11 days ago


Job description

Description:

NOTE: This is a full-time employment opportunity (No C2C, subcontractor or 1099 engagements, please.). The candidate MUST be a U.S. Citizen and able to complete/pass/hold at a minimum public trust investigation (active public trust is preferred). This is a remote opportunity; however, candidate must reside in the DC, Maryland, Virginia (DMV) metro area.


Daily Responsibilities

  • Support the development and maintenance of the agency’s web scraping infrastructure. Responsible for extracting data from various websites and APIs, ensuring data quality and accuracy, and optimizing the scraping process for efficiency. Duties include:
  • Develop and maintain web scraping scripts and tools to extract data from websites and APIs.
  • Collaborate with cross-functional teams to understand data requirements and implement scraping solutions accordingly.
  • Monitor and troubleshoot scraping processes to ensure data quality and accuracy.
  • Optimize scraping scripts for performance and efficiency, considering factors such as speed, scalability, and resource utilization.
  • Stay up to date with the latest web scraping techniques, tools, and best practices.
  • Conduct data analysis and validation to ensure the integrity of scraped data.
  • Collaborate with data engineering and data science teams to integrate scraped data into our data pipelines and systems.
  • Document and communicate technical solutions, processes, and best practices to team members.
Requirements:
  • Must be a U.S. Citizen (no dual status) as mandated by our government client.
  • Must be able to complete/pass/hold at a minimum public trust investigation (an active public trust is preferred).
  • This is a remote opportunity; however, candidate must reside in the DMV area (as mandated by our government client).
  • 3+ years of professional experience in web scraping or a similar role.
  • Proficiency in Python and Java and experience with web scraping libraries such as Beautiful Soup, Scrapy, or Selenium.
  • Knowledge of AI/machine learning techniques for data extraction and classification.
  • Understanding of HTML, CSS, and JavaScript to navigate and interact with websites.
  • Experience working with APIs and handling different data formats (JSON, XML, etc.).
  • Familiarity with database systems and SQL for data storage and retrieval.
  • Familiarity of data cleaning and preprocessing techniques to ensure data quality.
  • Strong problem-solving skills and ability to troubleshoot and debug scraping issues.
  • Excellent communication and collaboration skills to work effectively in a team environment.
  • Attention to detail and ability to handle large volumes of data efficiently.
  • BS/BA degree in Computer Science, Information Sciences, or related IT discipline. Additional years of related professional experience can be substituted for a BS/BA degree.


Additional Qualifications (a PLUS):

  • Experience with cloud platforms for scalable web scraping infrastructure.
  • Familiarity with data visualization tools and techniques.
  • Understanding of legal and ethical considerations related to web scraping.


Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, location, and other business and organizational needs.