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Weekend Python Web Scraping 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 ...

New

Staffed4U

Data Engineer

Chantilly, VA · On-site

$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 ...

New

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 ...

Trustible

Senior Software Engineer

Arlington, VA · On-site +1

$141K - $186K/yr

... scraping information about AI models from the web. You will help build flexible internal ... Design, build, and ship full-stack features across a Django/Python backend and React frontend, from ...

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All JobsWeekend Python Web Scraping JobsWeekend Python Web Scraping Jobs in Virginia

Weekend Python Web Scraping information

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 are Weekend Python Web Scraping jobs?

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 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 Virginia? The most popular types of Python Web Scraping jobs in Virginia are:
What are popular job titles related to Weekend Python Web Scraping jobs in Virginia? For Weekend Python Web Scraping jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Weekend Python Web Scraping jobs in Virginia look for? The top searched job categories for Weekend Python Web Scraping jobs in Virginia are:
What cities in Virginia are hiring for Weekend Python Web Scraping jobs? Cities in Virginia with the most Weekend Python Web Scraping job openings:
Weekend Python Web Scraping jobs near you
Talent Intelligence Research Engineer

Talent Intelligence Research Engineer

McChrystal Group

Alexandria, VA

Full-time

Posted 3 days ago

Be an early applicant

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.