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Environmental Data Management Jobs in Colorado (NOW HIRING)

Environmental Data Scientist

Boulder, CO · On-site +1

$75K - $105K/yr

Data organization: organize, catalog, and structure heterogeneous environmental and geospatial ... Free centralized, self-directed Learning Management System to learn at your own pace * Personalized ...

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Data Management Specialist

Denver, CO · On-site

$70K - $92K/yr

Data Management Specialist Location: Onsite, Denver, CO Position Summary The Data Management ... environments. * Assist in mitigating competing sources of truth by promoting alignment across ...

Master's degree in a quantitative or information management discipline preferred. * 8+ years in data management, data governance, or MDM roles within large enterprise environments * 3+ years leading ...

Proven experience in scientific or environmental data management, including archiving, validating, and managing large datasets. * Metadata Standards: Deep understanding of geospatial metadata ...

Water Level Data Manager

Boulder, CO · On-site

$60K - $70K/yr

Proven experience in scientific or environmental data management, including archiving, validating, and managing large datasets. * Metadata Standards: Deep understanding of geospatial metadata ...

Water Level Data Manager

Boulder, CO · On-site

$60K - $70K/yr

Proven experience in scientific or environmental data management, including archiving, validating, and managing large datasets.Metadata Standards: Deep understanding of geospatial metadata standards ...

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Environmental Data Management information

See Colorado salary details

$32.6K

$102.1K

$180.9K

How much do environmental data management jobs pay per year?

As of Aug 9, 2026, the average yearly pay for environmental data management in Colorado is $102,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,400.00 and $132,000.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of an environmental data management professional?

Professionals in Environmental Data Management typically gather, organize, and analyze large datasets from environmental monitoring activities, such as air and water quality assessments. Daily tasks may include managing databases, preparing regulatory compliance reports, updating GIS maps, and developing data visualizations for internal or public use. Collaboration is common with scientists, engineers, and regulatory agencies, requiring regular meetings and clear communication of findings. This role also often involves troubleshooting data inconsistencies and ensuring data integrity, making attention to detail especially important.

What is an environmental data management?

An Environmental Data Management job involves collecting, organizing, analyzing, and maintaining environmental data related to air quality, water resources, sustainability, and regulatory compliance. Professionals in this field use software tools and databases to ensure data accuracy and accessibility for decision-making. They work with environmental scientists, engineers, and regulatory agencies to support environmental policies and sustainability efforts. Strong analytical skills, knowledge of data management systems, and understanding of environmental regulations are essential for this role.

What are the key skills and qualifications needed to thrive in environmental data management?

To thrive in Environmental Data Management, you need a solid background in environmental science, data analysis, and database management, often supported by a related degree. Proficiency with GIS software, data visualization tools, remote sensing technologies, and knowledge of regulatory reporting systems are typically required, with certifications such as GISP or relevant data management credentials being advantageous. Strong attention to detail, effective communication, and problem-solving skills help you excel when coordinating with cross-functional teams. Mastery of these skills ensures accurate, actionable environmental data and compliance with regulatory standards.

What job categories do people searching Environmental Data Management jobs in Colorado look for? The top searched job categories for Environmental Data Management jobs in Colorado are:
Infographic showing various Environmental Data Management job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $102,149 per year, or $49.1 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

Overview

Lynker Corporation is a leading provider of innovative solutions in weather and climate science. With a commitment to excellence and a passion for innovation, Lynker leverages cutting-edge technologies and scientific expertise to support the creation and delivery of improved operational weather forecasts. As part of our ongoing growth and expansion, we are seeking a dynamic and experienced Environmental Data Scientist to join our growing team.

Responsibilities

Duties of the Environmental Data Scientist will include the following:

  • Data organization: organize, catalog, and structure heterogeneous environmental and geospatial datasets using consistent metadata and controlled vocabularies, with clear provenance, so they can be combined consistently and reproducibly.
  • Analytical logic: help define how rules and analytical logic are represented, versioned, and evaluated against layered datasets, with traceable analytical lineage from inputs to results.
  • Data product design: define what analytical inputs and outputs should contain, including data, results, and metadata, the schemas that represent them, and how those schemas evolve over time.
  • Domain reasoning: bring environmental and hydrologic domain knowledge to bear on how data is weighted, interpreted, and encoded into rules.
  • Validation & QA: develop checks, test cases, and validation logic to confirm that rules produce correct, explainable, and consistent results.
  • Documentation & collaboration: document data schemas, analytical logic, and data sources; collaborate across the Science, Engineering, and Platform teams to keep the system understandable, accessible, and maintainable.
Qualifications

The Environmental Data Scientist selected should have the following:

  • Master's in environmental science, ecosystem science, water resources, hydrology, earth science, environmental data science, or a related field; or a Bachelor's plus 2 years applying data science to environmental problems; or equivalent hands-on experience.
  • Strong environmental and data science background, with the ability to reason about how environmental evidence should be represented and combined.
  • Proficiency in a data science language such as R or Python for data wrangling, analysis, and modeling.
  • A working sense of geospatial data science, including experience with GIS tooling and spatial datasets (e.g., R, ArcGIS, QGIS, Google Earth Engine).
  • Comfort thinking structurally about data schemas, inputs, and outputs, and translating domain logic into clear, testable rules.
  • Strong technical and scientific writing skills.

The Ideal Environmental Data Scientist will have the following:

  • Experience designing data schemas, structured formats, or APIs, and defining inputs and outputs for downstream consumers.
  • Familiarity with rules-based or decision-support systems and how to make their logic transparent and explainable.
  • Experience integrating multiple public and agency data sources (e.g., USGS, NOAA, PRISM) for watershed or environmental analysis.
  • Exposure to machine learning or statistical modeling applied to environmental data.
  • Track record of scientific writing, publication, or open-source contribution.
  • Colorado Front Range presence for periodic in-person collaboration.

About Lynker

Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.

We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively.

Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:

  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) - we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.

Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.

  Employment Type: FULL_TIME