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Python Web Scraping Internship Jobs in Virginia (NOW HIRING)

Prescient Edge

Full Stack Engineer

Mclean, VA · On-site

Design, implement, and maintain efficient and reusable Python code, and VueJS * Support software ... Perform and oversee data engineering tasks such as writing scripts, calling APIs, web scraping, and ...

Prescient Edge

Senior Data Scientist

Mclean, VA · On-site

... Python; managing and merging of disparate data sources, preferably through R, Python, or SQL ... Perform and oversee data engineering tasks such as writing scripts, calling APIs, web scraping, and ...

Staffed4U

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 ...

Staffed4U

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 ...

Edgesource

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 ...

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 ... Python, SQL, and PySpark (highly desired) for data processing and pipeline development. * Elastic ...

Institute for Justice

Research Assistant

Arlington, VA · On-site

$22.25 - $30.50/hr

Proficient with Excel; experience with Stata, R, Python, or SPSS preferred. * Experience working ... government agencies, web scraping, or systematic review of government documents, statutes ...

Institute for Justice

Senior Research Analyst

Arlington, VA · On-site

$133K - $134K/yr

Strong skills with statistical software such as Stata; proficiency with Python, R, or GIS is ... web scraping, document review, or other means) and use of datasets from government or non ...

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Python Web Scraping Internship information

What types of projects and responsibilities can I expect during a Python Web Scraping Internship?

As a Python Web Scraping Intern, you'll typically work on projects that involve extracting data from various websites using libraries such as BeautifulSoup, Scrapy, or Selenium. Your daily tasks may include writing and debugging scripts, cleaning and organizing scraped data, and ensuring compliance with website terms of service. You'll often collaborate with data analysts or software engineers to understand data requirements and integrate your work into larger data pipelines. This role provides a hands-on learning environment, helping you develop practical coding skills, problem-solving abilities, and teamwork experience.

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

AspectPython Web Scraping InternshipData Analyst Internship
Required SkillsPython, web scraping tools, basic data handlingExcel, SQL, data visualization, statistical analysis
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Industry UsageData collection, automation, research projectsData interpretation, reporting, decision-making support

While both internships involve working with data, a Python Web Scraping Internship focuses on extracting data from websites using Python, whereas a Data Analyst Internship emphasizes analyzing and visualizing data to support business decisions. The skills and work environments overlap in tech settings, but their core responsibilities differ significantly.

What is a Python Web Scraping Internship?

A Python Web Scraping Internship is a training position where interns learn to use Python programming to extract data from websites. Interns typically work on projects involving automated data collection, cleaning, and storage using Python libraries like BeautifulSoup, Scrapy, or Selenium. The role helps build practical experience in both coding and understanding web structures, which is valuable for careers in data science, software development, or research. Interns may also gain skills in handling large datasets and understanding ethical considerations in web scraping.

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

To thrive as a Python Web Scraping Intern, you need a solid understanding of Python programming, familiarity with web protocols, and a basic grasp of HTML, CSS, and JavaScript. Experience using libraries like BeautifulSoup, Scrapy, or Selenium, along with version control systems like Git, is typically required. Strong analytical thinking, attention to detail, and effective problem-solving skills help you navigate complex data extraction tasks and adapt to changing website structures. These skills are crucial for efficiently collecting accurate data and ensuring compliance with ethical and legal standards in data gathering.
What are the most commonly searched types of Python Web Scraping jobs in Virginia? The most popular types of Python Web Scraping jobs in Virginia are:
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Python Web Scraping Internship jobs near you
Talent Intelligence Research Engineer

Talent Intelligence Research Engineer

McChrystal Group

Alexandria, VA

Full-time

Posted 4 days ago

Job description

Position Overview: 

Our consultants work side by side with client organizations to help them make smarter decisions about their people. The Talent Intelligence Research Engineer is the analytical engine behind that work. 

In this role, you will be embedded on client-facing consulting teams, working directly with clients to answer complex questions about their workforce and talent landscape. The data you work with spans publicly available talent and talent-adjacent data, as well as clients’ own workforce data. 

The questions you'll tackle might look like: How much should we be paying for this role in this market? Where does the talent we need actually exist, and can we compete for it? How does our workforce compare to our competitors? What skills does our organization have today, and what are we missing? 

To answer those questions, you'll pull from a wide toolkit, writing code, scraping and acquiring data from public sources, applying natural language processing, machine learning, and AI techniques, and designing custom analytical approaches when no off-the-shelf solution exists. Every engagement is different, and the problems are genuinely novel. 

This is not a role that maintains systems or runs recurring reports. It is investigative and project-based by nature. You'll move from engagement to engagement, working alongside consultants and client business leaders to develop proprietary methodologies, build analytical capabilities that don't exist anywhere else, and deliver the data assets and insights that help clients make better decisions about their talent, workforce, organization, and leadership. 

Workforce & Talent Intelligence

  • Conduct research and analysis related to labor markets, compensation, talent availability, workforce composition, organizational structures, skills, and recruiting dynamics. 

  • Develop methodologies to estimate or infer workforce attributes that are not directly observable. 

  • Analyze talent pools, labor supply, competitive hiring environments, and organizational capabilities. 

  • Produce actionable talent intelligence for client engagements. 

  • Communicate findings, assumptions, confidence levels, and limitations to both technical and non-technical audiences. 

Research Engineering & Data Acquisition

  • Acquire data from public, commercial, and proprietary sources. 

  • Develop custom web scraping, extraction, and enrichment workflows to support research initiatives. 

  • Build one-off software tools and analytical applications required to answer specific business questions. 

  • Evaluate data quality, completeness, and reliability across multiple sources. 

  • Rapidly learn and apply new technologies, techniques, and datasets as project requirements evolve. 

Machine Learning, AI & Advanced Analytics

  • Apply machine learning, natural language processing, statistical methods, and generative AI techniques to solve talent intelligence problems. 

  • Develop similarity, matching, classification, clustering, ranking, and inference approaches when appropriate. 

  • Leverage large language models and modern AI tooling to accelerate research and insight generation. 

  • Design experiments and validation approaches to assess analytical accuracy and reliability. 

  • Translate analytical outputs into practical business recommendations. 

Consulting & Collaboration

  • Partner with consultants, researchers, and client-facing stakeholders to understand business challenges. 

  • Contribute to the development of proprietary talent intelligence methodologies and intellectual property. 

  • Support client engagements through research, analytical problem solving, and technical expertise. 

  • Present research findings and recommendations to clients and internal stakeholders. 

  • Share tools, approaches, and best practices across the organization. 

Qualifications:

Required Qualifications 

  • Bachelor's degree in Computer Science, Data Science, Statistics, Economics, Mathematics, Engineering, Social Sciences, or a related quantitative field. 

  • 4-6 years of relevant experience 

  • Experience conducting independent analytical or research-oriented projects. 

  • Strong programming skills, particularly in Python. 

  • Strong analytical reasoning and problem-solving abilities. 

  • Ability to work effectively in ambiguous environments with limited precedent or direction. 

  • Excellent written and verbal communication skills. 

  • Experience with labor market, workforce, recruiting, compensation, or organizational data. 

  • Experience working with large structured and unstructured datasets. 

  • Must be able to obtain and maintain a U.S. Government security clearance. 

Preferred Qualifications 

  • Experience with web scraping, data acquisition, and information extraction. 

  • Experience with machine learning, NLP, or AI-assisted analytics. 

  • Exposure to consulting, market intelligence, economic research, competitive intelligence, or workforce analytics environments. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.