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Remote Water Data Analyst Jobs in Colorado (NOW HIRING)

Environmental Data Scientist

Boulder, CO · On-site +1

$75K - $105K/yr

... 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 ...

College degree must be in a relevant field such as remote sensing, Geospatial sciences, Relevant ... Experience with data analytics and COTS statistical software (SPSS, SAS, MatLab etc.) Experience ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

Showing results 41-60

Remote Water Data Analyst information

What is a remote water data analyst?

Remote Water Data Analysts are professionals who collect, process, and interpret water-related data from a distance, often using digital tools and cloud-based software. They monitor water quality, usage, and availability by analyzing data from sensors, satellites, and other remote sources. Their work helps organizations make informed decisions about water resource management, policy, and environmental protection. These analysts typically collaborate with engineers, scientists, and government agencies to ensure water data is accurate and actionable. The remote aspect of the job allows them to perform tasks from anywhere, reducing the need for on-site presence.

What are the key skills and qualifications needed to thrive as a remote water data analyst?

To thrive as a Remote Water Data Analyst, you need strong analytical skills, a background in environmental science or engineering, and experience with data management and statistical analysis. Familiarity with GIS software, remote sensing tools, and data visualization platforms like Python or R is typically required, along with certifications in water resource management being advantageous. Exceptional attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting complex datasets and collaborating with remote teams. These skills ensure accurate analysis, informed decision-making, and actionable insights for water resource management in a remote setting.

What are the most common challenges faced by remote water data analysts when working with distributed teams?

Remote Water Data Analysts often encounter challenges related to communication and data accessibility when collaborating with geographically dispersed teams. Since data may come from various sources like sensors, field reports, and different departments, ensuring consistent data quality and timely sharing is critical. Effective collaboration typically relies on strong digital communication skills and familiarity with cloud-based data management platforms. Additionally, maintaining alignment on project goals and data interpretation can require regular virtual meetings and proactive documentation.

What job categories do people searching Remote Water Data Analyst jobs in Colorado look for?

The top searched job categories for Remote Water Data Analyst jobs in Colorado are:

What cities in Colorado are hiring for Remote Water Data Analyst jobs?

Cities in Colorado with the most Remote Water Data Analyst job openings:

Infographic showing various Remote Water Data Analyst job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Environmental Data Scientist

Lynker Corporation

Boulder, CO • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 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