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Data Management Intern Jobs in Colorado (NOW HIRING)

As a Product Management Intern at Danaher, you'll join a collaborative team working across R&D, ... Strong analytical and problem-solving skills with the ability to interpret complex data

As a Product Management Intern at Danaher, you'll join a collaborative team working across R&D, ... Strong analytical and problem-solving skills with the ability to interpret complex data

As a Product Management Intern at Danaher, you'll join a collaborative team working across R&D, ... Strong analytical and problem-solving skills with the ability to interpret complex data

As a Product Management Intern at Danaher, you'll join a collaborative team working across R&D, ... Strong analytical and problem-solving skills with the ability to interpret complex data

$14.75 - $19.75/hr

What You Can Expect The Clinical Applications Intern is responsible for providing support to the Biostatistics & Clinical Data Management (BCDM) department in the development and maintenance of ...

$14.75 - $19.75/hr

What You Can Expect The Clinical Applications Intern is responsible for providing support to the Biostatistics & Clinical Data Management (BCDM) department in the development and maintenance of ...

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Data Management Intern information

See Colorado salary details

$9

$17

$25

How much do data management intern jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data management intern in Colorado is $17.91, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $20.24 per hour, depending on experience, location, and employer.

What is the difference between Data Management Intern vs Data Analyst Intern?

AspectData Management InternData Analyst Intern
Required SkillsData organization, database basics, ExcelData analysis, visualization, SQL
Work EnvironmentData repositories, database systemsReporting tools, analytics platforms
Industry UsageData storage, data governanceData insights, decision support

The Data Management Intern focuses on organizing, maintaining, and ensuring the integrity of data within databases and repositories. In contrast, the Data Analyst Intern emphasizes analyzing data to generate insights and support decision-making. Both roles often require familiarity with Excel and basic database skills, but their core responsibilities differ, with data management being more about data quality and structure, and data analysis centered on interpretation and reporting.

What are some common challenges faced by data management interns, and how can they be overcome?

Data Management Interns often encounter challenges such as learning new database systems, managing large data sets, and ensuring data accuracy. It's common to feel overwhelmed by the volume and complexity of data, especially when using unfamiliar tools or software. To overcome these challenges, interns should actively seek guidance from experienced team members, make use of documentation and training resources, and practice attention to detail when handling data. Open communication and a willingness to learn will help interns quickly adapt and succeed in their role.

What does a data management intern do?

A Data Management Intern assists with organizing, storing, and maintaining data within an organization. Their tasks often include data entry, cleaning data to ensure accuracy, supporting database management, and helping with data analysis projects. Interns may also work with teams to develop data reports and ensure that information is easily accessible and secure. This role provides valuable experience with data management tools and processes, which are essential skills in many industries.

What are the key skills and qualifications needed to thrive as a data management intern, and why are they important?

To thrive as a Data Management Intern, you need a foundational understanding of data analysis, database concepts, and proficiency in spreadsheet software, typically supported by coursework in statistics or information systems. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau is often required. Strong attention to detail, organizational skills, and the ability to communicate clearly help interns manage data accurately and collaborate with team members. These skills ensure accurate data handling, support effective decision-making, and contribute to the integrity of business operations.
What are the most commonly searched types of Data Management jobs in Colorado? The most popular types of Data Management jobs in Colorado are:
What cities in Colorado are hiring for Data Management Intern jobs? Cities in Colorado with the most Data Management Intern job openings:
Infographic showing various Data Management Intern job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $37,261 per year, or $17.9 per hour.

Undergraduate/graduate intern - software and data infrastructure for autonomous thin film experiment

The National Renewable Energy Laboratory (NREL)

Golden, CO โ€ข On-site

Part-time

Medical, Dental, Vision, Retirement

Re-posted 4 days ago


Job description

Posting Title
Undergraduate/graduate intern - software and data infrastructure for autonomous thin film experimentation (Year-Round)
Location
CO - Golden
Position Type
Intern (Fixed Term)
Hours Per Week
25
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
NLR's Materials Design and Discovery group is seeking an undergraduate or graduate intern to support the development of digital infrastructure for autonomous semiconductor processing and characterization systems. In conjunction with the DOE's METALLIC platform (https://netl.doe.gov/metallic), we are developing a closed-loop autonomous experimentation platform that integrates scientific instrumentation, data management, artificial intelligence, and workflow orchestration to accelerate the discovery and optimization of advanced semiconductor thin films.
The successful candidate will work closely with a multi-disciplinary team to build the software and data infrastructure that enables autonomous operation of advanced semiconductor synthesis and characterization instruments.
Key responsibilities include
  • Develop and maintain Python software for scientific instrument control and laboratory automation.
  • Implement APIs, communication interfaces, and messaging systems connecting distributed experimental instruments and control computers.
  • Support real-time data exchange, data management, and provenance infrastructure for autonomous experimentation workflows.
  • Assist with integration, testing, debugging, deployment, and documentation of software systems.
  • Develop tools for monitoring, logging, and visualization of experimental data and system status.

Collaborate with multidisciplinary teams working in semiconductor processing, materials science, robotics, and artificial intelligence.
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 programming in Python.
  • Familiarity with software development practices, including version control (e.g., Git).
  • Strong analytical and problem-solving skills.
  • Ability to work independently and as part of a multidisciplinary research team.
  • Strong written and verbal communication skills.
  • Ability to quickly learn new technologies and experimental systems.

Preferred Qualifications
  • Experience developing software for hardware interfacing, automation, laboratory systems, or scientific instrumentation.
  • Experience with communication standards, protocols, and messaging technologies used for instrument integration and distributed systems (e.g., OPC UA, Modbus, MQTT, TCP/IP, SCPI).
  • Experience with databases, data pipelines, or data management systems.
  • Experience with machine learning, optimization, computer vision, or autonomous experimentation systems.
  • Previous experience working with scientific instrumentation, laboratory automation, or experimental research environments.
  • Interest in autonomous systems, scientific computing, robotics, or laboratory automation.

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: $34,800 - $55,700
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.