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Environmental Modeling Jobs in Washington (NOW HIRING)

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Environmental Modeling information

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$41.9K

$76K

$110.4K

How much do environmental modeling jobs pay per year?

As of Sep 10, 2026, the average yearly pay for environmental modeling in Washington is $75,967.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,400.00 and $90,600.00 per year, depending on experience, location, and employer.

What is an environmental modeling job?

An Environmental Modeling job involves using computer models and simulations to study environmental systems and predict changes due to natural or human influences. Professionals in this field analyze data related to climate change, pollution, water resources, and ecosystems to support decision-making in policy, conservation, and resource management. They often work with geographic information systems (GIS), statistical analysis tools, and programming languages to develop accurate models. Environmental modelers collaborate with scientists, engineers, and policymakers to address environmental challenges and create sustainable solutions.

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

To thrive in Environmental Modeling, you need a solid background in environmental science, mathematics, and computer programming, often supported by a relevant degree such as environmental engineering or earth sciences. Familiarity with modeling software like MATLAB, ArcGIS, or Python, as well as certifications in GIS or environmental data analysis, is highly valued. Strong analytical thinking, attention to detail, and effective communication skills enable you to interpret complex data and collaborate with multidisciplinary teams. These competencies are essential for producing reliable models that inform environmental policy, planning, and sustainability efforts.

What are some common challenges faced in environmental modeling roles?

Professionals in Environmental Modeling often deal with challenges such as managing incomplete or inconsistent environmental data, staying updated with rapidly evolving modeling technologies, and interpreting complex results for non-technical stakeholders. You may also encounter tight deadlines when responding to environmental incidents or regulatory changes. Overcoming these challenges involves continuous learning, creative problem-solving, and clear communication with scientists, engineers, and policymakers. These aspects can make the role demanding but also provide opportunities for professional growth and meaningful impact.

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

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

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

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

What cities in Washington are hiring for Environmental Modeling jobs?

Cities in Washington with the most Environmental Modeling job openings:

Environmental Modeling jobs near you
Infographic showing various Environmental Modeling job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 10% Part Time, 2% Temporary, 5% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $75,967 per year, or $36.5 per hour.

Modeling & Simulation Analyst/Developer

Tysons, VA • Hybrid

LMI
See more jobs at LMIexternal

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Overview

LMI is seeking a skilled Forward Deployed Engineer in the Washington, DC region to join one of our M&S customer development teams. Successful Forward Deployed Engineers demonstrate competency in integrating advanced technologies into existing business processes, building new functionality, ensuring successful software development, analysis, or deployments, and working closely with customers. This role requires a combination of technical skills, strong communication, and the ability to quickly turn ideas into production caliber code. This role will work and engage directly with customers on-site, in a hybrid format, or remotely, as required by each customer including the potential for occasional short-term travel to customer locations across the United States.

This is a hybrid (onsite/remote) role. This position requires the ability to obtain a Secret clearance. You must be a U.S. citizen.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

 Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities
  • Design, implement, and maintain analytical models within our M&S capability called RAPTR. 
  • Perform testing and validation of models and code to ensure accurate outputs.
  • Perform operations research analyses with RAPTR to answer client questions and recommend efficient courses of action
  • Participate in client meetings to understand requirements and to brief your technical findings and analyses.
  • Collaborate with other RAPTR software engineers, modelers, and analysts to optimize performance for large-scale simulations. 
  • Implement monitoring, logging, and alerting to ensure system reliability and availability. 
  • Troubleshoot issues across cloud infrastructure, networks, and simulation workloads. 
  • Stay current with advances in cloud technologies and recommend improvements to enhance RAPTR capabilities. 
Qualifications

Qualifications: 

  • Bachelor's degree in Computer Science, ORSA, Data Science, or related field (or equivalent work experience). 
  • 5+ years in performing complex data analytics such as building AI/ML models, or physics-based models.
  • Previous experience with modeling and simulation (M&S) tools
  • Experience with briefing and engaging with DoD customers. 
  • Strong problem-solving skills and ability to work in a collaborative, fast-paced environment. 
  • Ability to obtain a Secret clearance. You must be a U.S. citizen.

Desired Qualifications 

  • Experience supporting modeling and simulation platforms or compute-intensive applications. 
  • Experience with cloud infrastructure (AWS, Azure, or GCP). 
  • Ability to obtain TS/SCI clearance
  • Knowledge of DoD cloud security requirements (IL4/IL5, FedRAMP, CMMC). 
  • Experience working in Agile development teams. 
Job LocationsUS-VA-TysonsEmployment Type: FULL_TIME

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