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Internship Web Scraping Jobs in Colorado (NOW HIRING)

Internship Web Scraping information

What are the key skills and qualifications needed to thrive as an Internship Web Scraping professional, and why are they important?

To thrive as an Internship Web Scraping professional, you need foundational knowledge of programming languages like Python, understanding of HTML/CSS, and basic data analysis skills, often supported by relevant coursework or personal projects. Familiarity with libraries and tools such as BeautifulSoup, Scrapy, Selenium, and version control systems like Git is typically required. Attention to detail, problem-solving ability, and strong communication skills help you navigate data challenges and collaborate effectively with teams. These competencies ensure efficient extraction, handling, and interpretation of web data, which are crucial for supporting business and research objectives.

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

AspectInternship Web ScrapingData Analyst Intern
Required SkillsBasic programming, HTML, CSS, PythonData analysis, Excel, SQL, statistics
Work EnvironmentTech companies, startups, digital agenciesBusiness, finance, marketing sectors
Employer UsageWeb data extraction, automation projectsData interpretation, reporting, insights

Internship Web Scraping and Data Analyst Intern roles often share skills like programming and data handling. However, web scraping focuses on extracting data from websites, while data analysis involves interpreting and visualizing data for decision-making. Both roles are common in tech-driven industries and require analytical skills, but they serve different functions within data workflows.

What is an Internship in Web Scraping?

An Internship in Web Scraping is a temporary position where interns learn and assist in extracting data from websites using programming languages and tools. Interns gain hands-on experience with web scraping frameworks, handling data extraction challenges, and adhering to ethical and legal guidelines. This role helps develop technical skills in Python, BeautifulSoup, Scrapy, and working with APIs. Web scraping internships are valuable for students or recent graduates interested in data science, analytics, or software development careers.

What typical challenges might I face during an internship focused on web scraping, and how can I overcome them?

As a web scraping intern, you may encounter challenges such as dealing with websites that have anti-scraping measures, navigating constantly changing website structures, and ensuring your scripts remain efficient and ethical. Overcoming these challenges often involves learning how to handle CAPTCHAs, rotating proxies, adjusting your code to adapt to site changes, and respecting robots.txt rules. Collaborating closely with your team and seeking feedback from experienced developers will help you learn best practices and improve your problem-solving skills.
What are the most commonly searched types of Web Scraping jobs in Colorado? The most popular types of Web Scraping jobs in Colorado are:
What are popular job titles related to Internship Web Scraping jobs in Colorado? For Internship Web Scraping jobs in Colorado, the most frequently searched job titles are:

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.