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Summer Data Engineer Jobs in Colorado (NOW HIRING)

Senior DevSecOps Engineer

Boulder, CO ยท On-site +1

$118K - $162K/yr

... great summer. You'll own how we protect that data end to end: architecting and hardening our ... You'll be the person the engineering org comes to on security and the one who defines what good ...

Senior DevSecOps Engineer

Boulder, CO ยท On-site +1

$118K - $162K/yr

... great summer. You'll own how we protect that data end to end: architecting and hardening our ... You'll be the person the engineering org comes to on security and the one who defines what good ...

During the summer you will also participate in a soft skills training, several webinars, and an end ... Field data collection and entering into excel spreadsheets * Quantity take-offs and preconstruction ...

During the summer you will also participate in a soft skills training, several webinars, and an end ... Field data collection and entering into excel spreadsheets * Quantity take-offs and preconstruction ...

We combine consulting and engineering with advanced analytics and technology to solve the world ... This field work will take place this summer with tentative field dates of 8/10/26 - 8/21/26 with ...

We combine consulting and engineering with advanced analytics and technology to solve the world ... This field work will take place this summer with tentative field dates of 8/10/26 - 8/21/26 with ...

ROLE OVERVIEW Join our 2026 summer internship program! Build real-world AI systems and agent ... and reasons over client data, analyzes portfolio exposures and risk scenarios, generates ...

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Showing results 1-20

Summer Data Engineer information

See Colorado salary details

$46.8K

$136.4K

$186.6K

How much do summer data engineer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for summer data engineer in Colorado is $136,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,400.00 and $144,600.00 per year, depending on experience, location, and employer.

What kinds of projects or tasks do Summer Data Engineers typically work on during their internships?

Summer Data Engineers are often assigned to real-world projects such as building data pipelines, cleaning and transforming datasets, and supporting analytics initiatives within their teams. They may collaborate with data scientists, software engineers, and business analysts to ensure data is accessible, reliable, and well-documented for analysis or reporting. Weekly responsibilities can include writing SQL queries, developing ETL (Extract, Transform, Load) processes, and participating in regular team meetings or code reviews. This hands-on experience provides valuable exposure to industry-standard tools and practices, helping interns build a strong foundation for future data engineering roles.

What are the key skills and qualifications needed to thrive in the Summer Data Engineer position, and why are they important?

To thrive as a Summer Data Engineer, you need a solid understanding of programming languages (such as Python or SQL), data structures, and data processing concepts, typically supported by ongoing or completed coursework in computer science, statistics, or related fields. Familiarity with data engineering tools like Apache Spark, Hadoop, and cloud platforms (e.g., AWS or Azure) is often expected, as are internships, workshops, or relevant technical certifications. Strong problem-solving abilities, willingness to learn, effective communication skills, and teamwork help set applicants apart. These competencies enable you to efficiently support data-driven projects, collaborate with cross-functional teams, and contribute meaningfully during a short-term internship or seasonal assignment.

What is a Summer Data Engineer job?

A Summer Data Engineer is a seasonal or internship role focused on assisting data engineering teams with tasks like data pipeline development, ETL processes, and database management. This role typically involves working with programming languages such as Python or SQL, cloud platforms, and data processing frameworks. Summer Data Engineers help ensure that data is efficiently collected, stored, and accessible for analysis. The position provides hands-on experience in data infrastructure and is ideal for students or early-career professionals looking to gain industry experience.

What are the most commonly searched types of Data Engineer jobs in Colorado? The most popular types of Data Engineer jobs in Colorado are:
Graduate (Summer Intern) -Data Center Modeler for Power System Study

Graduate (Summer Intern) -Data Center Modeler for Power System Study

The National Renewable Energy Laboratory (NREL)

Golden, CO โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 9 days ago


Job description

Posting Title
Graduate (Summer Intern) -Data Center Modeler for Power System Study
Location
CO - Golden
Position Type
Intern (Fixed Term)
Hours Per Week
40
Working at NLR
NLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development.
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
The Grid Automation and Control Group within the Power Systems Engineering Center (PSEC) at NLR is seeking an exceptional graduate to support cutting-edge research in modeling and simulation of modern power grids, particularly as the electric grid undergoes rapid transformation driven by the explosive growth of large data centers.
The successful candidate will contribute to advanced projects on data center electrical modeling, EMT/phasor simulation, and stability analysis. We are looking for a highly motivated individual with strong expertise in inverter-based resource (IBR) modeling and power-system dynamics who is passionate about addressing emerging reliability challenges in future high-load, high-IBR grids. This role is ideal for candidates who enjoy solving complex problems at the intersection of large loads and modern grid stability.
Job duties and responsibilities include:
  • Develop phasor-domain/EMT models for hyperscale data centers to support large-scale power system planning and operational studies
  • Conduct model validation using real-world event data and commercial simulation tools (e.g., PSSE, PSLF, DIgSILENT PowerFactory, PSCAD)
  • Document results through high-quality reports, presentations, and briefings for internal teams, DOE sponsors, and external partners
  • Publish research findings in peer-reviewed journals, IEEE transactions, conference proceedings, and NREL technical reports
  • Solid background in power systems dynamics and modeling including load flow, short-circuit, and contingency analysis
  • Proficiency with power system simulation tools in Phasor-domain (e.g.,PSSE, PSLF, Powerworld, etc., PSCAD or EMTP experience a plus)
  • Strong understanding of inverter-based resource(IBR) integration challenges, and power system stability concepts

Basic Qualifications
Minimum 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:
โ€ข Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process.
โ€ข If selected for position, a letter of recommendation will be required as part of the hiring process.
โ€ข Must meet educational requirements prior to employment start date.
* Must meet educational requirements prior to employment start date.
Additional Required Qualifications
  • Experience with parameter identification for dynamic electrical devices
  • Strong understanding of small-signal, transient, and voltage stability
  • Hands-on experience developing user-defined dynamic models of IBRs in PSSยฎE or PSLF
  • Experience in modeling and simulation of inverter-based resources (IBRs) and stability analysis of high-IBR-dominated power systems
  • Experience with data center modeling
  • Hands-on experience with new IBR models (e.g., WECC REGFMA1, REGFMB1, vendor-provided models) is a plus
  • Experience with software development in Python, C++, or other programming languages
  • Strong analytical skills with the ability to process, interpret, and present technical results clearly
  • Excellent written and verbal communication skills

Preferred Qualifications
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 Summary
Benefits 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 Requirement
NLR 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.
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.