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Freelance Python Web Scraping Jobs in Colorado (NOW HIRING)

Freelance Python Web Scraping information

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

AspectFreelance Python Web ScrapingFreelance Data Analyst
Skills & CredentialsPython, web scraping libraries, basic data handlingExcel, SQL, data visualization, statistical analysis
Work EnvironmentRemote, project-based, client-specificRemote or on-site, consulting or project-based
Industry UsageWeb data extraction for research, marketing, or business insightsData interpretation, reporting, and strategic recommendations

Freelance Python Web Scraping focuses on extracting data from websites using Python, while Freelance Data Analysts interpret and analyze data to provide insights. Both roles often work remotely and require technical skills, but their core functions differ: one is data collection, the other is data analysis.

What are some common challenges faced by freelance Python web scraping professionals, and how can they be addressed?

Freelance Python web scraping professionals often encounter challenges such as dealing with websites that have anti-scraping measures, handling frequent changes in website structures, and managing large volumes of data efficiently. To address these issues, it's important to stay updated with the latest scraping libraries and techniques, utilize rotating proxies and user-agent strings, and write modular code that can be easily adapted when websites update their layouts. Additionally, maintaining clear communication with clients about legal considerations and project scope helps set realistic expectations and ensures a smooth workflow.

What is freelance Python web scraping?

Freelance Python web scraping involves using the Python programming language to extract data from websites on a project or contract basis, rather than as a full-time employee. Freelancers in this field use libraries like BeautifulSoup, Scrapy, or Selenium to gather, parse, and organize data from various web sources according to client needs. Projects can range from collecting product prices, aggregating news articles, monitoring social media trends, or compiling research datasets. Freelance web scrapers must ensure they comply with relevant legal and ethical guidelines, as well as website terms of service. The work requires technical proficiency, problem-solving skills, and clear communication with clients.

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

To thrive as a Freelance Python Web Scraping specialist, you need strong programming skills in Python, a deep understanding of web protocols, and knowledge of data extraction techniques. Familiarity with libraries like BeautifulSoup, Scrapy, Selenium, and experience using APIs, along with basic knowledge of version control systems like Git, is typically required. Problem-solving, attention to detail, and effective communication are crucial soft skills for managing client requirements and navigating technical challenges. These skills ensure efficient, ethical, and accurate data extraction, which is vital for delivering reliable results to clients.
What are the most commonly searched types of Python Web Scraping jobs in Colorado? The most popular types of Python Web Scraping jobs in Colorado are:
What are popular job titles related to Freelance Python Web Scraping jobs in Colorado? For Freelance Python Web Scraping jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Freelance Python Web Scraping jobs in Colorado look for? The top searched job categories for Freelance Python Web Scraping jobs in Colorado are:
What cities in Colorado are hiring for Freelance Python Web Scraping jobs? Cities in Colorado with the most Freelance Python Web Scraping job openings:

Energy Data Analysis - (Year-Round) Graduate Internship

Nrel

Golden, CO

$44K - $71K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 5 days ago


Job description

Posting TitleEnergy Data Analysis - (Year-Round) Graduate Internship

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LocationRemote

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Position TypeIntern (Fixed Term)

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Hours Per Week40

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Working at NLR

Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth.

At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being.

Job Description

Mission and Vision

NLR strives to achieve our vision of an affordable and secure energy future through our mission: leading research, innovation, and strategic partnerships to deliver integrated solutions for an affordable and secure energy future.

As the energy systems laboratory, we bridge foundational research with practical applications to ensure various energy sources, storage, buildings, transportation, and emerging technologies work together to lower energy costs, drive economic growth, bolster national security, and deliver abundant energy.

The candidate will support a variety of tasks related to renewable energy data analysis and data collection with a focus on behind-the-meter solar analysis in NLR's Strategic Energy Analysis Center. The successful candidate will have strong research, data analysis, consolidation, and writing skills as well as experience compiling and manipulating large data sets for analysis. Experience with data collection using approaches like web scraping and a strong background with coding languages like R and/or Python required.

The candidate will support renewable energy technology, policy, market, financing, and regulatory projects through data collection, cleaning, and analysis; literature reviews; writing; and spreadsheet analysis.

Key Responsibilities

Data collection, cleaning, and analysis related to solar permitting, inspection, and interconnection

Leveraging LLMs and other tools for web scraping and data collection to produce novel datasets for industry insights

Support research projects examining distributed solar policies and other energy-related market analysis.

Data collection and analysis for renewable energy supply options for large non-residential, commercial and industrial renewable energy buyers.

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Basic QualificationsMinimum of a 3.0 cumulative grade point average.
Undergraduate: Must be enrolled as a full-time student in a bachelor's degree program from an accredited institution.
Post Undergraduate: Earned a bachelor's degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate: Must be enrolled as a full-time student in a master's degree program from an accredited institution.
Post Graduate: Earned a master's degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate + PhD: Completed master's degree and enrolled as PhD student from an accredited institution.
Please Note:
Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process.
If selected for position, a letter of recommendation will be required as part of the hiring process.
Must meet educational requirements prior to employment start date.

* Must meet educational requirements prior to employment start date.

Additional Required Qualifications
  • Expertise in data collection, organization, cleaning, and manipulation and familiarity with at least one software tool to scrape, manage, visualize, and analyze. R or Python preferred.
  • Must be personable, professional, and comfortable engaging with stakeholders.
Preferred Qualifications
  • An ideal candidate will have a background in qualitative and quantitative data analysis.
  • Great attention to detail and excellent research, written communication, organizational, and Excel and PowerPoint skills.
  • Interest in creative problem solving for novel data collection and processing efforts.

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Job Application Submission Window

The anticipated closing window for application submission is up to 30 days and may be extended as needed.

Annual Salary Range (based on full-time 40 hours per week)Job Profile: / Annual Salary Range: $44,500 - $71,200

NLR takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions.

Benefits SummaryBenefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match*; and sick leave (where required by law). NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement. Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits.

* Based on eligibility rules

Badging RequirementNLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Intern assignments extending beyond six months will be subject to this requirement.Drug Free Workplace

NLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.

If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.

Submission Guidelines

Please note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.

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Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.

Reasonable Accommodations

E-Verify www.dhs.gov/E-Verify For information about right to work, click here for English or here for Spanish.

E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.