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Weekend Python Web Scraping Jobs in Ashburn, VA (NOW HIRING)

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Data Scientist

Rosslyn, VA · On-site

$60/hr

... and web scraping. * Develop data and analytics solutions using AWS and/or Azure, including ... Apply Python, SQL, R, and/or JavaScript to develop datasets, models, dashboards, visualizations ...

Data Scientist

Mclean, VA

$107K - $195K/yr

Perform web scraping and apply various techniques for processing unstructured data. * Leverage ... Experience with Python is required. * Social network analysis (SNA) experience * Strong SQL skills ...

Data Scientist

Mclean, VA · On-site

$107K - $195K/yr

Perform web scraping and apply various techniques for processing unstructured data. * Leverage ... Experience with Python is required. * Social network analysis (SNA) experience * Strong SQL skills ...

Data Engineer

Chantilly, VA

$118K - $142K/yr

... using Python and SQL. * Integrate data from a variety of structured and unstructured sources ... Develop and maintain web scraping and data ingestion workflows to collect and process open-source ...

Strong Python background * Clear communicator of technical concepts for non-technical audiences ... Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy) Machine Learning ...

Data Engineer

Chantilly, VA · On-site

$110 - $170/hr

... using Python and SQL. * Integrate data from a variety of structured and unstructured sources ... Develop and maintain web scraping and data ingestion workflows to collect and process open-source ...

... web scraping to support robust analytics and data-driven decision-making. * Provide guidance to ... Python, R, and Java Scripts. * 3+ years of experience working with projects involving Machine ...

New

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Develop and implement web scraping and data ingestion workflows to collect open-source data ... Python, SQL, and PySpark (highly desired) for data processing and pipeline development. * Elastic ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Develop and implement web scraping and data ingestion workflows to collect open-source data ... Python, SQL, and PySpark (highly desired) for data processing and pipeline development. * Elastic ...

... web scraping to support robust analytics and data-driven decision-making. * Provide guidance to ... Python, R, and Java Scripts. * 3+ years of experience working with projects involving Machine ...

Use APIs, web scraping, and other computational methods to collect new data. * Experiment with ... Proficiency in Python, R, or Stata and demonstrated ability to learn and work in additional ...

Build web scraping algorithms for imagery curation in accordance with customer data priorities ... Development experience in Python and other languages for data cleaning and manipulation What Would ...

Showing results 21-40

Weekend Python Web Scraping information

See Ashburn, VA salary details

$45

$59

$65

How much do weekend python web scraping jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for weekend python web scraping in Ashburn, VA is $59.19, according to ZipRecruiter salary data. Most workers in this role earn between $54.09 and $63.89 per hour, depending on experience, location, and employer.

What is a weekend Python web scraping job?

Weekend Python Web Scraping jobs involve using the Python programming language to collect and extract data from websites, typically during weekend hours or as a part-time remote role. These jobs often require knowledge of web scraping libraries like BeautifulSoup, Scrapy, or Selenium, as well as an understanding of HTML and web protocols. The work can include tasks such as gathering data for market research, competitive analysis, or data aggregation projects. Since the work is scheduled for weekends, it offers flexibility for those who have commitments during the week. Attention to ethical web scraping practices and compliance with website terms of service is usually important.

What are some common challenges faced in a weekend Python web scraping role, and how can they be addressed?

One frequent challenge in weekend Python web scraping roles is dealing with websites that implement anti-scraping measures, such as CAPTCHAs or frequent layout changes. Effective solutions include using libraries like Selenium or Playwright to mimic human browsing, rotating user agents and IP addresses, and staying updated with website structure changes. Additionally, time management is key, as weekend roles often require efficiently balancing multiple scraping tasks within limited hours. Collaborating with other developers or data engineers, even asynchronously, can help share solutions and maintain scraping scripts effectively.

What are the key skills and qualifications needed to thrive as a weekend Python web scraping specialist, and why are they important?

To thrive as a Weekend Python Web Scraping Specialist, you need strong proficiency in Python programming, experience with web scraping libraries like BeautifulSoup and Scrapy, and a solid understanding of HTML, CSS, and HTTP protocols. Familiarity with version control systems such as Git, browser automation tools like Selenium, and sometimes cloud platforms is also typically expected. Attention to detail, problem-solving skills, and effective communication are essential soft skills to manage project requirements and address data extraction challenges. These competencies ensure accurate, efficient data gathering and reliable delivery within tight weekend timelines.

What is the difference between Weekend Python Web Scraping vs Weekend Data Analyst?

AspectWeekend Python Web ScrapingWeekend Data Analyst
Required SkillsPython, web scraping libraries, data extractionExcel, SQL, data visualization, basic programming
Work EnvironmentRemote, project-based, technicalRemote or on-site, analytical, business-focused
Industry UsageTech, e-commerce, researchFinance, marketing, consulting

Weekend Python Web Scraping involves writing scripts to extract data from websites, focusing on technical skills like Python programming. Weekend Data Analysts interpret and visualize data to support business decisions, requiring analytical and communication skills. While both roles may work remotely and require some technical knowledge, Python Web Scraping is more technical and coding-intensive, whereas Data Analysis emphasizes data interpretation and reporting.

What are the most commonly searched types of Python Web Scraping jobs in Ashburn, VA?

The most popular types of Python Web Scraping jobs in Ashburn, VA are:

What are popular job titles related to Weekend Python Web Scraping jobs in Ashburn, VA?

For Weekend Python Web Scraping jobs in Ashburn, VA, the most frequently searched job titles are:

What job categories do people searching Weekend Python Web Scraping jobs in Ashburn, VA look for?

The top searched job categories for Weekend Python Web Scraping jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Weekend Python Web Scraping jobs?

Cities near Ashburn, VA with the most Weekend Python Web Scraping job openings:

Infographic showing various Weekend Python Web Scraping job openings in Ashburn, VA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution, with an average salary of $123,118 per year, or $59.2 per hour.

Data Scientist

The Midtown Group

Rosslyn, VA • On-site

$60/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 9 days ago

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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.