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Data Curation Jobs in Colorado (NOW HIRING)

Factset

Senior Media Analyst

Lakewood, CO

$88K - $116K/yr

Take control of our data products, utilizing human-in-the-loop data curation and validation software to ensure our products evolve with changing standards and reporting requirements, while also ...

GRVTY

Data Scientist 3

Colorado Springs, CO

Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility) * Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific ...

Grey Matters Defense Solutions

Data Engineer

Centennial, CO · On-site

$125K - $165K/yr

This position is responsible for maintaining the collection of data from various sources, presenting data to the analyst, gathering and curating the inputs from the analyst, and producing the vehicle ...

Grey Matters Defense Solutions

Data Engineer

Englewood, CO · On-site

$125K - $165K/yr

This position is responsible for maintaining the collection of data from various sources, presenting data to the analyst, gathering and curating the inputs from the analyst, and producing the vehicle ...

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Data Curation information

See Colorado salary details

$10

$42

$67

How much do data curation jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for data curation in Colorado is $42.19, according to ZipRecruiter salary data. Most workers in this role earn between $28.06 and $55.44 per hour, depending on experience, location, and employer.

What are some typical challenges faced by professionals in Data Curation roles?

Professionals in Data Curation often manage large, complex datasets from diverse sources, which can present challenges in ensuring consistency, accuracy, and proper documentation. They may encounter incomplete or poorly formatted data that requires significant cleaning and standardization. Collaborating with researchers, data engineers, and subject matter experts is common to clarify requirements and maintain data integrity. Staying current with evolving data standards and technologies is also key to success, making adaptability important in daily work.

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

To excel in Data Curation, you need a strong background in data management, information science, and database technologies, often supported by a degree in a related field. Familiarity with data wrangling tools, metadata standards, programming languages (such as Python or R), and data management systems is highly valuable. Attention to detail, analytical thinking, and collaborative communication are standout soft skills in this position. These abilities ensure data integrity, usability, and accessibility, which are essential for supporting robust decision-making and research outcomes.

What is a Data Curation job?

A Data Curation job involves collecting, organizing, maintaining, and ensuring the quality of data for accuracy and accessibility. Data curators clean and structure datasets, manage metadata, and ensure compliance with data governance standards. They work closely with data scientists, analysts, and engineers to support data-driven decision-making. This role is essential in industries like research, healthcare, finance, and technology, where high-quality data is crucial for insights and innovation.

What are popular job titles related to Data Curation jobs in Colorado? For Data Curation jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Curation jobs in Colorado look for? The top searched job categories for Data Curation jobs in Colorado are:
Data Curation jobs near you
Infographic showing various Data Curation job openings in Colorado as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $87,761 per year, or $42.2 per hour.
NIST PREP Data Infrastructure Engineer

NIST PREP Data Infrastructure Engineer

Southeastern Universities Research Association

Boulder, CO • On-site

$60K/yr

Full-time

Posted 7 days ago

Job description

The Statistical Engineering Division at the National Institute of Standards and Technology is seeking immediate applications for a post-bachelor's position focusing on supporting the development of scientific computing applications and tools. The tools will include both public-facing web infrastructure and code bases used by bench scientists for data collection and analysis. A primary focus will be establishing a central, high-resolution data repository for international clock and frequency standard measurements, providing essential data and collaborative infrastructure for the upcoming redefinition of the second.
The candidate's primary responsibilities may include:
  • Supporting domain experts who generate requirements documents outlining software development needs
  • Creation and deployment of a data repository to store, maintain, and share results of interlaboratory measurements and analyses.
  • Performing the data curation and data engineering work to transform raw data into machine actionable datasets as guided by the FAIR data principles
  • Managing and consolidating data streams originating from atomic clocks and the associated network components including, e.g., optical fiber links and optical frequency combs.
  • Developing methodology for collating complex datasets involving multimodal data or heterogeneous processing pathways
  • Extracting information from the curated data using statistical techniques and/or AI approaches

The ideal candidate will have the following skills, experience, and/or qualifications:
  • Bachelor's degree in at least one of the following fields: computer science, systems engineering, statistics, physics, or a closely-related discipline
  • Cross-disciplinary collaboration.
  • Experience in scientific computing, workflow development and data management.
  • Applied machine learning / data science.
  • Reproducible research and production/dissemination of archival datasets.
  • Enthusiasm for learning about diverse measurement science techniques.
  • Familiar with DevOps principles and container-based application development/deployment.

Keywords: Python, DevOps, Docker, Kubernetes, Linux, Bash, Amazon Web Services, JSON, XML, HTML, JavaScript, CSS
Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0004024

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