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Climate Modeling Jobs in Washington (NOW HIRING)

Tate Access Floors Inc

BIM Modeler

Columbia, MD · On-site

$70K - $100K/yr

... minimal climate impact. We are excited to potentially welcome you as part of our team as we ... Perform BIM modeling and clash detection to identify and resolve coordination issues * Collaborate ...

Tate

BIM Modeler

Columbia, MD · On-site

$70K - $100K/yr

... minimal climate impact. We are excited to potentially welcome you as part of our team as we ... Perform BIM modeling and clash detection to identify and resolve coordination issues * Collaborate ...

Tate Access Floors Inc

BIM Modeler

Columbia, MD

$70K - $100K/yr

... minimal climate impact. We are excited to potentially welcome you as part of our team as we ... Perform BIM modeling and clash detection to identify and resolve coordination issues * Collaborate ...

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How much do climate modeling jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for climate modeling in Washington is $45.68, according to ZipRecruiter salary data. Most workers in this role earn between $35.38 and $49.28 per hour, depending on experience, location, and employer.

What is a climate modeling job?

A Climate Modeling job involves using computer simulations to study and predict climate patterns and changes over time. Professionals in this field develop models that analyze factors like atmospheric composition, ocean currents, and greenhouse gas emissions to assess future climate scenarios. These models help scientists, policymakers, and organizations make informed decisions about climate change mitigation and adaptation strategies. Climate modelers often work in research institutions, government agencies, or environmental organizations, requiring expertise in atmospheric science, mathematics, and programming.

What are the key skills and qualifications needed to thrive in climate modeling?

To thrive in Climate Modeling, you generally need a strong background in atmospheric or environmental science, mathematics, and computer programming, often supported by an advanced degree in a related field. Familiarity with programming languages such as Python, R, or Fortran, as well as experience using climate modeling software like WRF or CESM, is highly valuable. Strong analytical thinking, problem-solving, and effective collaboration and communication skills set candidates apart. These skills are critical because the role involves translating complex scientific data into actionable insights for research, policy, and industry decision-making.

What are the typical collaboration opportunities or interdisciplinary interactions for a climate modeling professional?

Professionals in Climate Modeling frequently collaborate with other scientists, engineers, and policy analysts to assess environmental impact, develop models, and interpret data. Teamwork is common, often involving regular meetings with meteorologists, data scientists, and stakeholders from government, academia, or private industry. These interdisciplinary interactions enrich the modeling process by integrating various perspectives and expertise, helping ensure accurate and practical climate solutions. Such collaboration is essential for translating technical findings into applications that inform climate strategies and decision-making.

What are the most commonly searched types of Climate Modeling jobs in Washington?

The most popular types of Climate Modeling jobs in Washington are:

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

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

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

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

Climate Modeling jobs near you
Infographic showing various Climate Modeling job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $95,020 per year, or $45.7 per hour.

Financial Modeling Analyst/Associate, Portfolio Management

HASI

Annapolis, MD • On-site

$100K - $147K/yr

Full-time

Posted 9 days ago

Job description

About HASI
HASI is an investor in sustainable infrastructure assets advancing the energy transition. With more than $17 billion in managed assets, our investments are diversified across multiple asset classes, including utility-scale solar, storage, and onshore wind; distributed solar and storage; RNG; and energy efficiency. We combine deep expertise in energy markets and financial structuring with long-standing programmatic client partnerships to deliver superior risk-adjusted returns and measurable environmental benefits. HA Sustainable Infrastructure Capital, Inc. is listed on the New York Stock Exchange (Ticker: HASI). For more information, please visit hasi.com.
Position Summary
HASI is currently seeking an Analyst/Associate to join its Portfolio Management team in Annapolis, MD. This individual will support the monitoring, analysis, and management of HASI's existing investment portfolio and will also assist with due diligence and transition support for new investment opportunities. The role is well suited for candidates with strong financial modeling and analytical skills, an interest in climate investing, and a collaborative approach to working across functions and teams.
At the Analyst level, this role will focus primarily on modeling, financial analysis, research, reporting, and support for portfolio monitoring and new investment diligence. At the Associate level, this role will be expected to take greater ownership of modeling, portfolio analytics, commercial analysis, and workstreams supporting new portfolio onboarding, while exercising more independent judgment and helping guide junior team members where appropriate.
Responsibilities
  • Perform detailed reviews of operating portfolio performance across grid connected, renewable natural gas, or behind-the-meter investments, including analysis of production, pricing, revenue, operating expenses, and other key asset-level performance indicators
  • Work closely with investment counterparties to collect and verify operational and financial key performance indicators and address commercial issues
  • Build, maintain, and enhance financial models, including project operating proformas and portfolio-level analyses, to assess economics, identify risks, and evaluate performance relative to underwriting expectations
  • Support the development and refinement of internal portfolio monitoring tools, analytics, and reporting processes
  • Work closely and collaboratively with cross-functional teams to achieve objectives above.
  • Prepare recurring and ad hoc briefing decks, and management materials that synthesize portfolio performance, emerging risks, and potential value-enhancement opportunities
  • Support due diligence processes for investments, including analyzing production, operating expenses, price forecasts, and other key underwriting inputs
  • For Associates: take primary ownership of designated modeling and analytical workstreams, identify key issues affecting portfolio performance and potential opportunities to improve investment outcome and propose constructive solutions and recommendations

Education and Work Experience
  • Bachelor's degree from a four-year institution required; Master's in Finance, Economics, Business
  • Analyst: typically, 2-3 years of relevant experience
  • Associate: typically, 3-5 years of relevant experience, including demonstrated strength in financial modeling and independent analytical ownership
  • Relevant experience may include prior work in renewable energy project finance, asset management / valuation, or finance / investment banking in the power, infrastructure, energy, or climate sectors
  • Excellent MS Excel financial modeling and data mining skills, with demonstrable experience working with complex models, are necessary requirements
  • Strong interpersonal skills, with the ability and desire to work in a fast-paced, innovative, and entrepreneurial environment
  • Excellent written and verbal communication skills
  • Curious, highly organized, detail-oriented, and able to manage multiple priorities while adapting quickly to changing priorities
  • Dependable, proactive and able to work independently while contributing as a supportive team member
  • Strong interest in climate investing and renewable energy markets
  • For Associates: demonstrated excellence in modeling, ability to evaluate assumptions thoughtfully, summarize model outputs accurately, and identify both transaction-level and broader portfolio issues

$100,000 - $147,500 a year
WORK AUTHORIZATION
HASI is willing to take over sponsorship for existing H1-B visas for exceptional talent. We are unable to provide new H-1B sponsorship at this time.
EEO STATEMENT
The Company maintains a policy of non-discrimination in employment and complies with and supports all Federal, state, and local laws regarding discrimination in employment. Specifically, the Company does not discriminate in employment opportunities or practices against any employee, intern, or applicant on the basis of race, color, gender, sex, sexual orientation, gender identity, religion, ancestry, national origin, age, citizenship status, marital status, pregnancy (including childbirth, lactation, or related medical conditions), mental or physical disability, veteran status, uniformed servicemember status, genetic information (including testing and characteristics), or any other characteristic to the extent prohibited by federal, state, or local law. Decisions regarding staffing, selection, and promotions are made on the basis of individual qualifications related to the requirements of the position. If you need reasonable accommodation for a job opening, please connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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