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Senior Climate Modeling Jobs in Colorado (NOW HIRING)

Project Canary

Senior Software Engineer

Denver, CO · On-site

$150K - $185K/yr

... a climate technology company offering an enterprise data platform that helps energy companies ... models to deliver insights that operators can act on to reduce emissions. The data-driven ...

Zero Homes

Senior Recruiter

Denver, CO · On-site

$120K - $160K/yr

... model as we scale to 55+ people. What You'll Do * Full-Cycle Execution: Manage end-to-end ... Turn our HQ into a hub for Denver's climate-tech community. You will lead the strategy and ...

Zero Homes

Senior Recruiter

Denver, CO · On-site

$120K - $160K/yr

... model as we scale to 55+ people. What You'll Do * Full-Cycle Execution: Manage end-to-end ... Turn our HQ into a hub for Denver's climate-tech community. You will lead the strategy and ...

Project Canary

Senior Software Engineer

Denver, CO

$150K - $185K/yr

Description Project Canary is a climate technology company offering an enterprise data platform ... models to deliver insights that operators can act on to reduce emissions. The data-driven ...

Project Canary

Senior Software Engineer

Denver, CO · On-site

$126K - $166K/yr

Project Canary is a climate technology company offering an enterprise data platform that helps ... models to deliver insights that operators can act on to reduce emissions. The data-driven ...

Stantec

Senior Fire Protection Engineer

Denver, CO · On-site

Engage in design development through sketches, electronic models, diagrams, and other formats ... issues like climate change, digital transformation, and future-proofing our cities and ...

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Senior Climate Modeling information

What does a senior climate modeler do?

A Senior Climate Modeler is responsible for developing, running, and analyzing advanced climate models to understand and predict changes in Earth's climate. They use complex computer simulations to assess the impact of various factors like greenhouse gas emissions, land use, and ocean currents on climate systems. These professionals often lead research projects, collaborate with scientists across disciplines, and provide critical insights for policymakers and organizations working to address climate change. Their work helps improve climate predictions and informs strategies to mitigate and adapt to climate risks.

What are the key skills and qualifications needed to thrive as a senior climate modeler, and why are they important?

To thrive as a Senior Climate Modeler, you need advanced expertise in climate science, numerical modeling, and data analysis, typically backed by a PhD in atmospheric science, meteorology, or a related field. Proficiency with programming languages (such as Python, Fortran, or R), climate modeling software (like WRF, CESM, or GCMs), and high-performance computing is crucial. Strong problem-solving abilities, collaboration, and effective communication of complex results make professionals stand out in this field. These skills are vital for developing accurate climate projections, informing policy, and advancing scientific understanding of climate change.

How do senior climate modelers typically collaborate with interdisciplinary teams on large-scale research projects?

Senior Climate Modelers often work closely with scientists from fields such as oceanography, atmospheric science, and data analytics to develop comprehensive climate simulations. They play a key role in integrating diverse datasets, providing technical expertise, and translating complex model outputs for non-specialist stakeholders. Effective collaboration requires strong communication skills and a willingness to bridge knowledge gaps between disciplines, which can be both challenging and highly rewarding as it leads to more robust and impactful research findings.

What is the difference between Senior Climate Modeling vs Climate Data Analyst?

AspectSenior Climate ModelingClimate Data Analyst
Required CredentialsAdvanced degrees in climate science, meteorology, or related fields; experience with modeling softwareBachelor's or master's in environmental science, data analysis, or related fields; proficiency in data tools
Work EnvironmentResearch labs, government agencies, or environmental organizations; focus on developing modelsData-focused roles in similar settings; analyze climate data for trends and reports
Employer & Industry UsageResearch institutions, government agencies, NGOsEnvironmental consulting firms, government agencies, research institutions

While both roles involve climate data, Senior Climate Modeling focuses on developing complex climate models and simulations, requiring advanced technical skills. Climate Data Analysts interpret existing data sets to identify trends and support decision-making. The roles differ mainly in scope and technical depth but share a common industry environment and credentials.

What are popular job titles related to Senior Climate Modeling jobs in Colorado?

For Senior Climate Modeling jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Senior Climate Modeling jobs in Colorado look for?

The top searched job categories for Senior Climate Modeling jobs in Colorado are:

What cities in Colorado are hiring for Senior Climate Modeling jobs?

Cities in Colorado with the most Senior Climate Modeling job openings:

Senior Climate Modeling jobs near you

Senior Software Engineer

Denver, CO • On-site

Project Canary
Environmental Consulting Services • 51 - 200 employees
Learn more about Project Canaryexternal

$150K - $185K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago

Job description

Senior Software Engineer
Department: Technology
Employment Type: Full Time
Location: Denver Headquarters
Compensation: $150,000 - $185,000 / year
Description
Project Canary is a climate technology company offering an enterprise data platform that helps energy companies improve and report on their emissions footprint. Project Canary builds high-fidelity sensors, ingests data from various other technologies and sources, and leverages proprietary analytics and models to deliver insights that operators can act on to reduce emissions. The data-driven technology enables energy operators to stop leaks faster, reduce risk, streamline reporting, and differentiate their operations for key stakeholders.
We're hiring a Senior Software Engineer who enjoys solving hard technical problems, working across the full stack, and taking meaningful ownership in a growing company. This role leans toward backend engineering, but we expect our engineers to be comfortable contributing wherever the product needs them.
This is a hybrid role based in downtown Denver, Colorado. We value in-person collaboration and build best when engineers spend meaningful time working side by side, whiteboarding, prototyping, and iterating together.
What You'll Work On
  • Own and improve meaningful production systems
  • Design, build, and maintain production applications across backend services and web interfaces
  • Take on complex backend problems while remaining comfortable contributing across the full stack
  • Solve for reliability, maintainability, performance, and evolving product needs
  • Contribute to technical and architectural decisions within the team
  • Partner closely with product, engineering, and company leadership
  • Work in fast feedback loops with relatively few layers between an idea and implementation
  • Build software with visible impact on our products, customers, and company

What "Senior" Means Here
  • Make sound technical decisions and clearly explain the tradeoffs behind them
  • Work effectively through ambiguity and turn unclear problems into actionable solutions
  • Independently own complex technical work from problem definition through delivery
  • Deliver reliably and adjust execution based on business priorities
  • Contribute meaningfully to architecture, technical decisions, and engineering practices
  • Improve the quality of the systems and code around them
  • Contribute to a culture of curiosity, accountability, and momentum
  • Senior Engineers here are strong individual contributors who are expected to bring judgment, initiative, and technical depth to the problems they own.

What We're Looking For
Technical Depth and Rigor
You have demonstrated the ability to reason through complex systems and make sound engineering decisions. That evidence might come from:
  • Designing and shipping production systems
  • Building products from 0 to 1 in ambiguous environments
  • Working across different systems, technologies, or problem domains
  • Research, open-source contributions, or other technically rigorous work
  • Solving problems that required thoughtful system design, tradeoff analysis, or non-obvious technical decisions
  • Developing and maintaining production web applications and services

Our Stack
Our application stack is primarily .NET, C#, Entity Framework Core, and React. This is a full-stack role with a backend lean.
We're especially interested in engineers who:
  • Have strong backend fundamentals and are comfortable contributing to frontend work
  • Can transfer experience from Java, Spring Boot, or comparable technologies into our .NET environment
  • Get productive quickly in unfamiliar technologies
  • Take ownership of learning rather than waiting for formal training

You do not need deep experience in every part of our stack on day one. We care more about the strength of your engineering fundamentals, how quickly you learn, and how you approach unfamiliar problems.
How We Use AI
We expect engineers to use AI and other development tools where they improve speed, learning, and productivity.
At the same time, you should be able to:
  • Understand and explain the code you ship
  • Evaluate technical and architectural decisions independently
  • Review generated code critically
  • Identify bugs and troubleshoot without relying on the tool to do the reasoning for you
  • Recognize when a generated solution is wrong, overly complex, or simply not a good fit for the problem

We value engineers who can reason from first principles when needed rather than relying solely on established patterns or generated solutions.
We care more about how you think, learn, and build than whether your background follows a traditional path.
Breadth and Curiosity
We are especially drawn to engineers who have developed range over the course of their careers and can bring lessons from different technologies, systems, and problem spaces to new challenges.
Strong candidates:
  • Have expanded their scope through new systems, domains, technologies, or increased responsibility
  • Are comfortable stepping outside their primary area of expertise when the problem requires it
  • Learn unfamiliar systems and domain concepts quickly
  • Connect product needs, customer impact, and technical design
  • Bring ideas and patterns from previous experiences without assuming every past solution fits the current problem

Depth matters, but so does the ability to apply experience across different kinds of problems.
Startup Adaptability
We are a mid-stage startup. Priorities evolve. Documentation is not always perfect. Sometimes the best path forward is not immediately obvious.
We are drawn to engineers who:
  • Thrive in environments with evolving structure
  • Take ownership of learning new systems and domains
  • Proactively identify next steps rather than waiting for assignments
  • Are comfortable on small teams where engineers contribute broadly and step in where needed to get work shipped
  • Stay anchored to business goals, not just technical elegance

Ownership, Pace, and Judgment
Strong candidates demonstrate:
  • Clear reasoning behind technical and architectural decisions
  • Ability to articulate tradeoffs, not just best practices
  • Awareness of business context when estimating timelines and choosing solutions
  • The discipline to meet commitments
  • The judgment to increase intensity when the situation calls for it and simplify when complexity is not justified

We value engineers who understand that great software supports real business outcomes.
Experience That Is Particularly Relevant, Not Required
Exposure to complex or real-world data problems is compelling, including:
  • Systems interacting with physical processes
  • Geospatial or spatial data
  • Combining multiple data streams to infer meaningful signals
  • Problems requiring modeling, interpretation, or non-obvious conclusions
  • Production applications built with .NET/C#, Java/Spring Boot, React, or comparable technologies

Strength in some areas can compensate for gaps in others.
Benefits
  • Salary range: $150,000-$185,000 annual base
  • Hybrid work environment (3 days/week in Denver office)
  • Health, dental, and vision insurance with low deductibles and premiums paid by company 99% for self and 50% for dependents and/or spouse
  • 401K with company match (no vesting period)
  • Student loan assistance
  • Generous culture around time off, including:
    • Unlimited PTO
    • 6 days of sick time per year
    • 11 paid company holidays per year
    • Up to 12 weeks of fully paid parental leave
  • Dog friendly office environment

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