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Manager Web Scraping Jobs in Washington (NOW HIRING)

The Midtown Group

Be Seen First

Data Scientist

Rosslyn, VA · On-site

$60/hr

Develop, manage, and optimize automated data pipelines to support reliable analytics and data ... and web scraping. * Develop data and analytics solutions using AWS and/or Azure, including ...

Guidehouse

OSINT Analyst

Washington, DC · On-site

$98K - $163K/yr

Managing tool enablement for clients, including hands-on support and coordination with vendors as ... Other technology (e.g., natural language processing, web-scraping techniques), * Cyber threat ...

A.C. Coy

Data Scientist (Hybrid)

Arlington, VA · Hybrid

Develop, manage, and optimize automated data pipelines to ensure data integrity, support reliable ... web scraping to support robust analytics and data-driven decision-making. * Provide guidance to ...

New

Staffed4U

Data Engineer

Chantilly, VA

$118K - $142K/yr

Develop and maintain web scraping and data ingestion workflows to collect and process open-source ... Data Management & Optimization * Collect, clean, validate, and manage large volumes of structured ...

Staffed4U

Data Engineer

Chantilly, VA · On-site

$110 - $170/hr

Develop and maintain web scraping and data ingestion workflows to collect and process open-source ... Data Management & Optimization * Collect, clean, validate, and manage large volumes of structured ...

10a Labs

Engineering Fellowship

Washington, DC · On-site +1

Experience managing full lifecycle projects from design to deployment Software Engineering ... Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy) Machine Learning ...

A.C. Coy

Data Scientist (Hybrid)

Arlington, VA · On-site +1

Develop, manage, and optimize automated data pipelines to ensure data integrity, support reliable ... web scraping to support robust analytics and data-driven decision-making. * Provide guidance to ...

10a Labs

Engineering Fellowship

Washington, DC · On-site

Experience managing full lifecycle projects from design to deployment Software Engineering ... Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy) Machine Learning ...

10a Labs

Engineering Fellowship

Washington, DC · On-site

$125/hr

Experience managing full lifecycle projects from design to deployment Software Engineering ... Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy) Machine Learning ...

10a Labs

Engineering Fellowship

Washington, DC · On-site +1

Experience managing full lifecycle projects from design to deployment Software Engineering ... Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy) Machine Learning ...

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 ... Data Management & Optimization * Collect, clean, and validate large volumes of structured and ...

AEI

(Senior) Data Scientist

Washington, DC · On-site

Use APIs, web scraping, and other computational methods to collect new data. * Experiment with ... Project-manage analyst workflows and provide supervision and quality control over analyst ...

Edgesource

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Develop and implement web scraping and data ingestion workflows to collect open-source data ... Data Management & Optimization * Collect, clean, and validate large volumes of structured and ...

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Manager Web Scraping information

What is a Manager Web Scraping?

A Manager Web Scraping is a professional responsible for overseeing teams and projects that extract data from websites using automated tools and scripts. They coordinate the development and maintenance of web scraping systems, ensure data quality, and handle technical challenges like site changes or anti-scraping measures. This role also involves managing compliance with legal and ethical standards related to web data extraction, as well as collaborating with data analysts and engineers to deliver actionable insights for the organization.

What are the key skills and qualifications needed to thrive as a Manager Web Scraping, and why are they important?

To thrive as a Manager Web Scraping, you need advanced programming skills (Python, JavaScript), a strong understanding of data extraction techniques, and experience managing data engineering projects, often supported by a computer science degree or equivalent experience. Familiarity with web scraping frameworks (like Scrapy or BeautifulSoup), headless browsers, APIs, and cloud-based solutions is essential, along with knowledge of relevant legal and ethical guidelines. Strong leadership, problem-solving abilities, and effective communication skills help in coordinating teams and addressing complex data challenges. These competencies are vital for ensuring efficient, scalable, and compliant data collection processes that drive business insights.

What are some common challenges faced by a Manager Web Scraping, and how can they be addressed?

A Manager Web Scraping often encounters challenges such as dealing with frequent website structure changes, managing large-scale data extraction efficiently, and ensuring compliance with legal and ethical standards. Addressing these requires staying updated on web technologies, implementing robust monitoring and alerting systems, and developing adaptable scraping strategies. Additionally, fostering collaboration with legal teams and data engineers can help ensure smooth operations and minimize risks. Regular training and knowledge sharing within the team can also be invaluable for overcoming evolving technical obstacles.

What is the difference between Manager Web Scraping vs Data Analyst?

AspectManager Web ScrapingData Analyst
Primary FocusOverseeing web scraping projects, managing scraping teams, ensuring data qualityAnalyzing data sets, generating reports, interpreting data insights
Skills & CertificationsWeb scraping tools, programming (Python, SQL), project managementStatistical analysis, data visualization, Excel, SQL
Work EnvironmentTech teams, data engineering, project managementBusiness units, data teams, reporting environments
Industry UsageWeb data collection, market research, e-commerceBusiness intelligence, marketing, finance

While both roles involve working with data, the Manager Web Scraping primarily oversees the technical process of extracting data from websites, managing teams, and ensuring data quality. In contrast, a Data Analyst focuses on interpreting data, creating reports, and providing insights to support business decisions. Both roles require technical skills, but their core responsibilities and work environments differ.

What are the most commonly searched types of Web Scraping jobs in Washington?

The most popular types of Web Scraping jobs in Washington are:

What cities in Washington are hiring for Manager Web Scraping jobs?

Cities in Washington with the most Manager Web Scraping job openings:

Manager Web Scraping jobs near you
Infographic showing various Manager Web Scraping job openings in Washington as of July 2026, with employment types broken down into 82% Full Time, 16% Part Time, 1% Temporary, and 1% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Scientist

The Midtown Group

Rosslyn, VA • On-site

$60/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 9 days ago

Be Seen First

After you apply to this job, you can share why you’re interested to jump to the top of the candidate list.

Key responsibilities

  • Develop, manage, and optimize automated data pipelines to support reliable analytics and data quality.

  • Extract, clean, transform, normalize, validate, and integrate data from various sources using appropriate tools and methods.

  • Develop, train, evaluate, deploy, and maintain machine learning and AI models.

Job description

We are seeking a Data Scientist to support a federal government client by applying advanced data analytics, machine learning, and artificial intelligence to complex datasets and mission-critical challenges. The Data Scientist will develop data pipelines, integrate diverse data sources, build analytical models, and translate complex findings into actionable insights.


Responsibilities

  • Develop, manage, and optimize automated data pipelines to support reliable analytics and data quality.
  • Extract, clean, transform, normalize, and validate structured and unstructured data.
  • Integrate data from flat files, relational databases, APIs, external systems, and other sources using JDBC/ODBC, REST APIs, and web scraping.
  • Develop data and analytics solutions using AWS and/or Azure, including Databricks, Azure Data Factory, and Azure Data Lake.
  • Use Azure DevOps and/or GitHub to support source control, CI/CD pipelines, and Agile development.
  • Apply Python, SQL, R, and/or JavaScript to develop datasets, models, dashboards, visualizations, and reports.
  • Apply advanced analytics including machine learning, AI, NLP, predictive analytics, statistical modeling, and data/text mining.
  • Develop, train, evaluate, deploy, and maintain machine learning and AI models.
  • Use PySpark/PySpark SQL to process and analyze large-scale datasets.
  • Identify trends, anomalies, patterns, and risks to support audit, investigative, oversight, and fraud, waste, and abuse activities.
  • Translate technical findings into clear narratives, recommendations, visualizations, and presentations.
  • Develop technical documentation, requirements, test plans, methodologies, and training materials.
  • Collaborate with technical teams, stakeholders, and management and provide guidance on data access, quality, storage, and analytics.


Qualifications

Required

  • US Citizenship required
  • 1+ year of experience working with AWS and/or Azure services, such as Databricks, Azure Data Factory, and Azure Data Lake.
  • Experience with Azure DevOps and/or GitHub, CI/CD pipelines, and Agile methodologies.
  • Experience developing and optimizing automated data pipelines and ETL/ELT processes.
  • Proficiency with Python and SQL; experience with R and/or JavaScript is a plus.
  • Experience working with structured and unstructured data and integrating multiple data sources.
  • Knowledge of machine learning, artificial intelligence, NLP, predictive analytics, statistical analysis, or data/text mining.
  • Strong analytical, problem-solving, technical writing, and communication skills.
  • Ability to work independently and effectively within a collaborative team environment.

Preferred

  • Experience with contract, procurement, and accounts payable (AP) data to identify trends, anomalies, and potential risks.
  • Experience using PySpark/PySpark SQL for large-scale data processing.
  • Experience with data lakes, data lakehouses, relational databases, and business intelligence tools.
  • Experience supporting federal audit, investigation, oversight, fraud, waste, or abuse-related activities.
  • Experience developing predictive models, NLP solutions, dashboards, and investigative or analytical visualizations.
  • Experience presenting technical findings, training materials, or conference presentations to large audiences.


The Midtown Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are a small, woman-owned business certified by the Women’s Business Enterprise National Council (WBENC). Operating from our headquarters in Washington, DC, we provide trusted staffing services nationwide. Our clients include thousands of the most prestigious Fortune 500 companies, law firms, financial organizations, tech innovators, non-profits, and lobbying firms, as well as federal, state and local government agencies.