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Environmental Engineering Intern Jobs in Colorado

Analytics Engineering Intern

Denver, CO · On-site

$17.25 - $22.50/hr

Description We are looking for an Analytics Engineering Intern who is eager to learn and passionate ... environment. Key Responsibilities * Support the development of automated data workflows and ...

Greeley, Colorado Wells Engineering Intern - Wells engineering internships consist of actual ... environmental performance studies, and contractor analyses are some of the types of internship ...

Civil and/or Environmental Engineering * Mechanical, Biological, Biosystems, Chemical, or Agricultural Engineering * Engineering Technology Hourly Range: $27-$31 Why Kimley-Horn? At Kimley-Horn, we ...

Civil and/or Environmental Engineering * Mechanical, Biological, Biosystems, Chemical, or Agricultural Engineering * Engineering Technology Hourly Range: $27-$29 Why Kimley-Horn? At Kimley-Horn, we ...

Civil and/or Environmental Engineering * Mechanical, Biological, Biosystems, Chemical, or Agricultural Engineering * Engineering Technology Hourly Range: $27-$29 At Kimley-Horn, we do things ...

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Environmental Engineering Intern information

See Colorado salary details

$11

$20

$31

How much do environmental engineering intern jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for environmental engineering intern in Colorado is $20.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $21.97 per hour, depending on experience, location, and employer.

What types of projects and tasks can I expect to work on as an Environmental Engineering Intern?

As an Environmental Engineering Intern, you can expect to work on a variety of projects such as assisting with environmental site assessments, collecting field samples, analyzing data, and preparing technical reports. You may also support senior engineers in designing solutions to mitigate pollution, improve water or air quality, and ensure compliance with environmental regulations. Interns often collaborate closely with multidisciplinary teams, including scientists, engineers, and project managers, providing valuable exposure to real-world challenges and the opportunity to develop practical skills.

What are the key skills and qualifications needed to thrive as an Environmental Engineering Intern, and why are they important?

To thrive as an Environmental Engineering Intern, you need a solid understanding of environmental science, engineering principles, and coursework toward a relevant degree. Familiarity with tools such as AutoCAD, GIS software, and environmental monitoring equipment is often required. Strong analytical thinking, effective communication, and teamwork skills help interns contribute meaningfully to projects and collaborate with multidisciplinary teams. These skills ensure interns can support environmental solutions, comply with regulations, and gain valuable experience for future roles.

What does an Environmental Engineering Intern do?

An Environmental Engineering Intern supports professional engineers and scientists in projects that focus on improving environmental quality. Typical tasks may include collecting and analyzing environmental samples, assisting with report writing, conducting site assessments, and helping to design systems that minimize pollution. Interns gain hands-on experience in areas like water and air quality, waste management, and regulatory compliance. These roles are essential for applying classroom knowledge to real-world environmental challenges and preparing for a full-time career in environmental engineering.
What are the most commonly searched types of Environmental Engineering jobs in Colorado? The most popular types of Environmental Engineering jobs in Colorado are:
What cities in Colorado are hiring for Environmental Engineering Intern jobs? Cities in Colorado with the most Environmental Engineering Intern job openings:
Infographic showing various Environmental Engineering Intern job openings in Colorado as of July 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $42,244 per year, or $20.3 per hour.

$17.25 - $22.50/hr

Full-time

Posted 18 days ago


Job description

We are looking for an Analytics Engineering Intern who is eager to learn and passionate about transforming information into actionable insights. This role is ideal for students with curiosity for programming, process automation, and building scalable analytical solutions.
As part of our Analytics team, you will collaborate with experienced professionals, contribute to real projects, and strengthen your technical and analytical skills in a dynamic environment.
  • Support the development of automated data workflows and reporting processes.
  • Assist in building scripts and tools using Python to improve operational efficiency.
  • Work with structured and unstructured data to support analytics and automation
    initiatives.
  • Collaborate on process optimization and automation projects across teams.
Technical Requirements
  • Familiarity with Python for scripting, automation and/or data analysis.
  • Basic knowledge of SQL and data querying concepts.
  • Exposure to Power BI or visualization tools.
  • Familiarity with APIs, automation tools, or workflow optimization concepts is a plus.
  • Intermediate proficiency in Excel and data organization.
Professional Qualifications
  • Currently pursuing a Bachelor's degree in Statistics, Engineering, Economics, Business Administration, Data Science, Computer Science, or related fields.
  • Interest in data analysis, business intelligence, or analytics consulting.
  • Strong analytical thinking and attention to detail.
  • Good communication and collaboration skills.
  • Ability to learn quickly and work in a team-oriented environment.
  • Self-motivated, organized, and curious mindset.
    Preferred Qualifications
  • Experience with Python libraries such as Pandas and NumPy, and familiarity with writing scripts for data processing or automation.
  • Experience building academic or personal projects involving data pipelines, dashboards, or automation.
  • Familiarity with GitHub, Git, or version control tools.
  • Interest in building integrations, automations, or data workflows using APIs and scripting tools.
  • Interest in AI, machine learning, or intelligent automation.