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Environmental Modelling Jobs (NOW HIRING)

Nvidia

Manager, SOC Modelling

Santa Clara, CA · On-site

$111.60K - $136.80K/yr

As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Nvidia Corporation

Manager, SOC Modelling

Santa Clara, CA · On-site

$111.60K - $136.80K/yr

As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Qualcomm

Camera Modelling Engineer

San Diego, CA · On-site

$99.40K - $149.20K/yr

... environment with geographically & functionally distributed teams • Managing large codebase integration & testbench automation will be a definite advantage Ideal candidate will have below skills • ...

Peabody Energy

Mgr Engineering & Environmental

Adger, AL

$89K - $119.70K/yr

About the role: We are currently seeking a Manager Engineering & Environmental to join our ... Proficient with AutoCAD, SurvCADD, COGO, Ventilation Modelling software (VnetPC or Ventsim), Belt ...

Peabody Energy

Mgr Engineering & Environmental

Adger, AL · On-site

$89K - $119.70K/yr

About the role: We are currently seeking a Manager Engineering & Environmental to join our ... Proficient with AutoCAD, SurvCADD, COGO, Ventilation Modelling software (VnetPC or Ventsim), Belt ...

Optimus

Business Analyst - Endur

Houston, TX · On-site

... volatility modelling * Proven experience bridging front office, middle office, risk, and technology in complex trading environments * Hands-on experience with global implementations, system ...

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All JobsEnvironmental Modelling Jobs

Environmental Modelling information

See salary details

$37K

$67.1K

$97.5K

How much do environmental modelling jobs pay per year?

As of May 30, 2026, the average yearly pay for environmental modelling in the United States is $67,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $80,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Environmental Modeller, and why are they important?

To thrive as an Environmental Modeller, you need a solid background in environmental science, mathematics, and computer programming, often supported by a relevant degree such as environmental engineering or applied mathematics. Proficiency with modelling software (e.g., MATLAB, ArcGIS, R, Python) and familiarity with statistical analysis tools are typically required, along with certifications in GIS or data analysis being advantageous. Strong analytical thinking, problem-solving abilities, and effective communication skills help convey complex modelling results to stakeholders. These skills are essential for accurately simulating environmental systems, informing policy decisions, and supporting sustainable resource management.

What are the typical collaborative relationships for someone working in Environmental Modelling?

Environmental modellers often work closely with multidisciplinary teams, including ecologists, data scientists, engineers, and policy experts. Collaboration is essential for integrating diverse data sources, validating models, and ensuring practical applications of modelling results. You can expect regular meetings to discuss project objectives, share findings, and refine modelling approaches based on feedback from stakeholders. This collaborative environment fosters learning and professional growth, as team members contribute different perspectives and expertise.

What is environmental modelling?

Environmental modelling is the process of using mathematical, computational, or statistical techniques to represent and simulate natural systems and processes, such as air and water quality, climate change, or ecosystem dynamics. These models help scientists and policymakers understand complex environmental interactions, predict future changes, and evaluate the impact of human activities or policy decisions. Environmental modellers use data from field observations and experiments to develop, calibrate, and validate their models, ensuring accurate and reliable predictions.

What is the difference between Environmental Modelling vs Environmental Data Analyst?

AspectEnvironmental ModellingEnvironmental Data Analyst
Required CredentialsBachelor's or Master's in Environmental Science, Geography, or related fields; knowledge of modeling softwareBachelor's or Master's in Environmental Science, Data Science, or related fields; strong data analysis skills
Work EnvironmentResearch labs, government agencies, environmental consultanciesData centers, research institutions, consulting firms
Employer & Industry UsageUsed to develop predictive models for environmental processesUsed to analyze environmental data sets and generate reports

Environmental Modelling focuses on creating simulations of environmental systems using specialized software, while Environmental Data Analysts interpret environmental data to inform decisions. Both roles require strong analytical skills and relevant environmental knowledge, but they differ in their primary tasks and tools used.

More about Environmental Modelling jobs
What states have the most Environmental Modelling jobs? States with the most job openings for Environmental Modelling jobs include:
What job categories do people searching Environmental Modelling jobs look for? The top searched job categories for Environmental Modelling jobs are:
Environmental Modelling jobs near you
Infographic showing various Environmental Modelling job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, 12% Part Time, 1% Contract, and 1% Nights. Highlights an 82% Physical, 9% Hybrid, and 9% Remote job distribution, with an average salary of $67,073 per year, or $32.2 per hour.

Data Engineer - (Python OR Java C#), Data Modelling, database design, ETL, SQL, 12+ Mths Cont NYC

ZnA Inc

New York, NY • On-site

Contractor

Posted 9 days ago

Job description

Data Engineer - (Python OR Java C#), Data Modelling, database design, ETL, SQL, 12+ Mths Cont NYC

JPC - 3507

Level 4: ( 8 to 15 yrs of industry Exp)

Loc: NYC  ( Hybrid – 4 days a week onsite)

Duration : 12+ months

Title: Data Engineer - (Python OR Java C#), Data Modelling, database design, ETL, SQL, 12+ Mths Cont NYC

Description:

Overview
We are looking for a Data Engineer to join our team with growing requirement of Data & Analytics. The hire will be responsible for building and optimizing our data storage, ingestion and consumption architecture to provide a strong base for our data platform. Also, they will collaborate with technology partners across the Firm to integrate with new data sources and consumers. Furthermore, they will work on a variety of projects around Sales Data Integrations, Analytics, Digital Marketing Integration, Campaign Management, Lead Generation, Visualization, and Advanced Analytics (Artificial Intelligence and Machine Learning). The ideal candidate is an experienced software developer who enjoys optimizing data and analytics systems and building them from the ground up. They must be self-directed and comfortable supporting the needs of multiple systems and projects. Candidates will be expected to be very hands-on and pick up domain knowledge. We focus on solving the problem and not getting tied down by technological choices, so it is extremely important that candidates are open to learning & working with technologies that are new for them. We support what we build, and the candidate will be responsible for post-production support on a rotation basis.
Responsibilities
• Build and optimize data pipelines to consume data from various sources, transform & model it, and then distribute it to multiple consumers.
• Collaborate with technology partners across the Firm to understand and integrate with new data sources and consumers.
• Work with multiple data sources (including structured and unstructured) to create an optimize data cubes for consumption by analytical dashboards and / or downstream systems.
• Identify, design, and implement improvements / automations for optimizing data processing, storage, and availability, while maintaining scalability, etc.
• Develop and support analytics & machine learning projects.
• Support migration of the data platform from on-premises to cloud infrastructure.
• Work with various stakeholders to assist with data & analytics related projects and issues.
Qualification
• We are looking for a candidate with 7+ years of experience in Data Engineering role, who has attained a bachelor’s or master’s degree in computer science, computer engineering, information technology/systems or another relevant technical field.
• Advanced working knowledge and experience with data modelling, data warehousing concepts, database design principles, query authoring (SQL) and performance optimization.
• A successful history of manipulating, transforming, processing, and extracting value from large, disconnected datasets.
• Hands-on programming experience with Python, Java, or C#.
• Hands-on experience with ETL tools.
• Working knowledge of data transformation, processing, analysis, and machine learning using Python (Pandas, NumPy, etc.)
• Excellent problem-solving and analytical skills with attention to details.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Excellent communication and collaboration skills.
Skillset and Experience
• Experience with Relational database systems like Sybase, SQL Server, Postgres, etc.
• Experience with object-oriented and/or function scripting languages: Python, Java, C++, or Scala, etc.
• Experience with ETL tools (Informatica, etc.) and frameworks.
• Experience with machine learning / artificial intelligence techniques like regression, classification, clustering, time series, text mining, large language models, etc.
• Experience of visualization tools like Tableau, QlikView, Power BI etc. is a plus.
• Experience with Cloud technologies like Snowflake, Microsoft Azure, Databricks, etc is a plus.
• Experience with data-science tools / workbench like Dataiku, Jupyter, Rapid Miner, etc. is a plus.
• Experience with Big Data tools / technologies: Hadoop, Pig, Hive, Hue, PySpark etc. is a plus.
MAJOR SKILLS LOOKING FOR:
• Advanced working knowledge and experience with data modelling, data warehousing concepts, database design principles, query authoring (SQL) and performance optimization.
• Hands-on programming experience in one language (Python, Java, or C#).
• Hands-on experience with ETL (Informatica, etc.) tools and frameworks.
• Hands-on experience of data transformation, processing, analysis, and machine learning using Python (Pandas, NumPy, etc.)