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Climate Science Jobs in Georgia (NOW HIRING)

Varsity Tutors

Earth Science Tutor

Alpharetta, GA · Remote

$18 - $40/hr

... processes, climate systems, and natural resources. Ability to explain the rock cycle, weather ... Familiar with earth science curricula including New York Regents Earth Science standards and common ...

Varsity Tutors

Earth Science Tutor

Atlanta, GA · Remote

$18 - $40/hr

... processes, climate systems, and natural resources. Ability to explain the rock cycle, weather ... Familiar with earth science curricula including New York Regents Earth Science standards and common ...

Varsity Tutors

Earth Science Tutor

Sandy Springs, GA · Remote

$18 - $40/hr

... processes, climate systems, and natural resources. Ability to explain the rock cycle, weather ... Familiar with earth science curricula including New York Regents Earth Science standards and common ...

Varsity Tutors

Earth Science Tutor

Roswell, GA · Remote

$18 - $40/hr

... processes, climate systems, and natural resources. Ability to explain the rock cycle, weather ... Familiar with earth science curricula including New York Regents Earth Science standards and common ...

Varsity Tutors

Earth Science Tutor

Lawrenceville, GA · Remote

$18 - $40/hr

... processes, climate systems, and natural resources. Ability to explain the rock cycle, weather ... Familiar with earth science curricula including New York Regents Earth Science standards and common ...

Varsity Tutors

Earth Science Tutor

Athens, GA · Remote

$18 - $40/hr

... processes, climate systems, and natural resources. Ability to explain the rock cycle, weather ... Familiar with earth science curricula including New York Regents Earth Science standards and common ...

Varsity Tutors

Earth Science Tutor

Johns Creek, GA · Remote

$18 - $40/hr

... processes, climate systems, and natural resources. Ability to explain the rock cycle, weather ... Familiar with earth science curricula including New York Regents Earth Science standards and common ...

Varsity Tutors

Earth Science Tutor

Carrollton, GA · Remote

$18 - $40/hr

... processes, climate systems, and natural resources. Ability to explain the rock cycle, weather ... Familiar with earth science curricula including New York Regents Earth Science standards and common ...

Varsity Tutors

Earth Science Tutor

Augusta, GA · Remote

$18 - $40/hr

... processes, climate systems, and natural resources. Ability to explain the rock cycle, weather ... Familiar with earth science curricula including New York Regents Earth Science standards and common ...

Varsity Tutors

Earth Science Tutor

Marietta, GA · Remote

$18 - $40/hr

... processes, climate systems, and natural resources. Ability to explain the rock cycle, weather ... Familiar with earth science curricula including New York Regents Earth Science standards and common ...

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$20.7K

$40.9K

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How much do climate science jobs pay per year?

As of Jul 10, 2026, the average yearly pay for climate science in Georgia is $40,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $43,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Climate Scientist, and why are they important?

To thrive as a Climate Scientist, you need a strong background in environmental science, atmospheric physics, mathematics, and typically a graduate degree in a related field. Familiarity with climate modeling software, programming languages like Python or R, and experience analyzing large datasets are commonly required. Excellent analytical thinking, problem-solving abilities, and effective communication skills help you interpret data and share findings with diverse audiences. These skills ensure rigorous scientific research, accurate climate predictions, and impactful contributions to environmental policy and public understanding.

What are some common challenges climate scientists face when conducting field research?

Climate scientists often encounter logistical and environmental challenges while conducting field research. These can include accessing remote or hazardous locations, dealing with unpredictable weather conditions, and transporting sensitive equipment. Collaboration with local experts and interdisciplinary teams is essential to ensure accurate data collection and analysis. Additionally, securing funding and adhering to regulatory requirements can be ongoing hurdles, but overcoming these challenges provides valuable experience and contributes to meaningful scientific advancements.

What do climate scientists do?

Climate scientists study the Earth's climate systems, analyzing data on temperature, weather patterns, and greenhouse gas levels to understand climate change. They use tools like computer models and conduct field research to assess environmental impacts and inform policy decisions.

Do climate scientists make a lot of money?

Climate scientists typically earn a median salary that is comparable to other environmental science roles, with salaries varying based on experience, education, and location. Entry-level positions may start lower, while experienced professionals with advanced degrees and research expertise can earn higher salaries, often supplemented by grants and institutional funding.

What is the highest paying job in environmental science?

In environmental science, senior roles such as Environmental Director or Climate Policy Director tend to have the highest salaries, often exceeding $100,000 annually. These positions typically require advanced degrees, extensive experience, and strong leadership skills, and may involve overseeing large projects or policy development.

What is climate science?

Climate science is the study of Earth's climate system, including the atmosphere, oceans, land surfaces, and ice. It involves understanding how these components interact, how the climate has changed in the past, and how it may change in the future due to natural and human influences. Climate scientists use data from observations, models, and experiments to analyze trends, predict climate scenarios, and inform policy decisions. Their work is crucial for addressing issues like global warming, extreme weather events, and environmental sustainability.

What can you do with a climate science degree?

A climate science degree prepares individuals for careers such as climate analyst, environmental consultant, research scientist, or policy advisor. These roles often involve data analysis, modeling, and using tools like GIS and climate models to assess environmental impacts and develop sustainable solutions.

What is the difference between Climate Science vs Environmental Science?

AspectClimate ScienceEnvironmental Science
Required CredentialsBachelor's or Master's in Climate Science, Environmental Science, or related fields; certifications in climate modeling or data analysisBachelor's or Master's in Environmental Science, Ecology, or related fields; certifications in environmental management
Work EnvironmentResearch labs, government agencies, climate modeling centersEnvironmental consulting firms, government agencies, NGOs
Industry UsageFocuses on climate change, atmospheric processes, and global warmingFocuses on ecosystems, pollution, conservation, and sustainability

Climate Science and Environmental Science share overlapping skills and work environments but differ in focus. Climate Science centers on climate change and atmospheric processes, while Environmental Science covers broader ecological and pollution issues. Both fields are vital for addressing environmental challenges and often collaborate in research and policy development.

What are popular job titles related to Climate Science jobs in Georgia? For Climate Science jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Climate Science jobs in Georgia look for? The top searched job categories for Climate Science jobs in Georgia are:
What cities in Georgia are hiring for Climate Science jobs? Cities in Georgia with the most Climate Science job openings:
Climate Science jobs near you
Senior Data Engineer

Senior Data Engineer

Intercontinental Exchange Holdings, Inc.

Atlanta, GA • On-site

$101K - $138K/yr

Full-time

Re-posted 27 days ago

Job description

Overview
Job Purpose
ICE Data Services (an Intercontinental Exchange company) is seeking a Senior Data Engineer to join its Data Impact & Innovation team. This team supports a variety of reference data, index, climate finance, and alternative data products. The role contributes to the data platforms and pipelines that help the financial sector understand and respond to carbon transition risk, physical risk, and related challenges.
Our team maintains a global-scale geospatial data platform in Google BigQuery, holding many terabytes of data across carbon transition risk, physical climate risk, and social/demographic features - feeding analytical products for fixed income and real estate financial instruments, supporting the ambitious product roadmap for ICE Climate and other data products. Our engineering stack includes:
  • Orchestration: Airflow, moving toward composable task abstractions over a shared pipeline framework
  • Transformation: dbt, and other data lineage and DQA tools, primarily using Google BigQuery
  • Geospatial processing: Python (GeoPandas, Shapely, GeoAlchemy2 against PostGIS) for vector operations, and R
  • Execution and compute environments: Hybrid across Google Cloud Platform and on-premise RHEL Linux infrastructure
  • Ingestion: Third-party vendor feeds via API, SFTP, cloud storage, and database replication

Typical engineering challenges include working with data science and climate science teams in operationalizing trained models and data pipelines, absorbing upstream vendor corrections and historical restatements without corrupting downstream artifacts, scaling raster x vector joins at terabyte scale, evolving schemas and spatial-indexing strategies as data sources broaden, and balancing long-running batch workflows against emerging sub-daily refresh cadences.
Responsibilities
  • Take significant components of the data platform from "works" to "mature" - tightening reliability, observability, cost/performance characteristics, and operational discipline across our ingestion, transformation, and serving layers.
  • Establish and foster adoption of technical standards for the team's work - including Airflow DAG structure, dbt model layout, BigQuery schema and partitioning conventions, pipeline testing practices, and deployment workflows.
  • Lead technical design discussions, mentor other data engineers through code review, pairing, and design-doc review, and grow them along their career path.
  • Act as a technical point of contact for cross-functional initiatives - partnering with data science, climate science, product, and infrastructure colleagues to drive forward decisions and make tradeoffs explicit.
  • Deliver day-to-day work across the stack above - authoring Airflow DAGs and dbt models, contributing geospatial processing capabilities, and shipping cleanly partitioned, audit-friendly outputs from ingestion through serving.
  • Support data science and climate science teams by helping design the tooling, training, and validation environments, and by deploying their trained models into production.
  • Effectively leverage AI and LLM-based developer tooling to accelerate development workflows and improve code quality.
  • Identify opportunities to improve and optimize data pipelines - for speed, cost, robustness, integrity, and operational simplicity.
  • Work with business analysts, product management, and adjacent engineering teams to understand and refine new data requirements.

Knowledge and Experience
  • 5+ years of professional experience as a data engineer, with a track record of architecting, shipping, and operating production data pipelines end-to-end.
  • Experience mentoring and developing other data engineers - through code review, pairing, design discussions, and career coaching.
  • Ability to establish and foster adoption of technical standards.
  • A habit of actively monitoring, evaluating, and prototyping emerging big-data, geospatial, and machine-learning technologies and platforms - staying conversant in advances across cloud data engines, geospatial libraries and standards, and ML/MLOps frameworks - and bringing the most promising into the team's design discussions, evaluations, and adoption decisions.
  • Strong system-design judgment across the tradeoff space of performance, cost, maintainability, and auditability
  • Comfort scoping, decomposing, and delegating work for other engineers.
  • Strong written and verbal communication - able to translate technical tradeoffs for senior business, product, and client stakeholders.
  • Deep fluency in modern, typed Python as a primary working language, including comfort with type-driven design (e.g. Pydantic v2).
  • Strong SQL background, including experience partitioning, clustering, and performance-tuning queries on modern cloud warehouses - Google BigQuery experience strongly preferred.
  • Production experience with dbt for managing warehouse transformations, and with Airflow (or a comparable orchestrator) for workflow orchestration.
  • Solid grounding in geospatial data engineering - Python tooling (GeoPandas, Shapely), spatial databases (PostGIS), raster processing, or adjacent skills.
  • A systems-thinking orientation: anticipates cascading effects of upstream data changes, schema evolution, and vendor corrections; designs pipelines with observability, auditability, and graceful failure in mind.
  • Comfort owning production incidents and debugging distributed systems.
  • Experience working cooperatively with systems, network, and infrastructure engineering and operations teams to ensure proper monitoring, alerting, and incident response workflows.
  • Demonstrated ability to integrate AI/LLM coding assistants productively - treating them as a force multiplier rather than a substitute for judgment.
  • Curiosity about the financial and climate/geospatial domains and contexts the team operates in.

Preferred Knowledge and Experience
  • Well-versed in and opinionated about the modern Python ecosystem.
  • Exposure to columnar and lakehouse technologies (Parquet, ClickHouse, DuckDB).
  • Working understanding of data lineage, data quality validation, and metadata/cataloging frameworks.
  • Prior experience in a hybrid cloud + on-premise environment, and with full software development lifecycle (SDLC) best practices and processes.
  • Prior exposure to ML deployment workflows - supporting data science teams with training tooling and/or model-serving infrastructure.
  • Familiarity with R, particularly geospatial packages.

#LI-HR1 #LI-ONSITE
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Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

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