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Carbon Performance Jobs in Decatur, GA (NOW HIRING)

Novelis

Global Metal Procurement Manager

Atlanta, GA · On-site

... carbon sourcing opportunities. * Contribute to continuous improvement efforts that strengthen procurement capabilities, supplier collaboration, and overall business performance Required ...

New

Mace

Senior Cost Manager

Atlanta, GA · Hybrid

Manages team of Cost Consultants, providing guidance, direction and coaching and performance ... Works collaboratively towards the common goal of net zero carbon transition, and share ...

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Showing results 21-40

All JobsCarbon Performance JobsCarbon Performance Jobs in Decatur, GA

Carbon Performance information

See Decatur, GA salary details

$31.7K

$66.6K

$109.3K

How much do carbon performance jobs pay per year?

As of Aug 9, 2026, the average yearly pay for carbon performance in Decatur, GA is $66,633.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,800.00 and $81,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a carbon performance specialist, and why are they important?

To thrive as a Carbon Performance Specialist, you need expertise in environmental science, carbon accounting, and data analysis, typically supported by a degree in environmental studies or sustainability. Familiarity with carbon management software, greenhouse gas (GHG) protocols, and certifications like ISO 14064 is often required. Strong project management, communication, and stakeholder engagement skills help you drive sustainability initiatives and translate technical findings for diverse audiences. These skills enable effective measurement, reporting, and reduction of carbon footprints, supporting organizational sustainability goals and regulatory compliance.

What is a carbon performance professional?

Carbon performance professionals are specialists who help organizations measure, manage, and reduce their carbon emissions and overall environmental impact. They often analyze energy use, develop strategies to minimize carbon footprints, and ensure compliance with environmental regulations. Their work is crucial for companies aiming to meet sustainability goals, achieve net-zero targets, and report transparently on their environmental performance. These professionals may work within sustainability teams, as consultants, or as part of facilities management.

What are common challenges faced by professionals working in carbon performance roles, and how are they typically addressed?

Professionals in Carbon Performance roles often face challenges such as collecting accurate emissions data across complex operations, keeping up with evolving regulations, and aligning sustainability goals with business objectives. These challenges are typically addressed through cross-department collaboration, investment in reliable data management tools, and ongoing professional development to stay current with regulatory changes and best practices. Building strong relationships with internal stakeholders and external partners is also crucial for driving successful carbon reduction initiatives and ensuring organizational buy-in.

What is the difference between Carbon Performance vs Sustainability Analyst?

AspectCarbon PerformanceSustainability Analyst
CredentialsCertifications in carbon accounting, environmental managementCertifications in sustainability, environmental science
Work EnvironmentFocus on carbon emissions data, reporting, and reduction strategiesBroader sustainability initiatives, environmental impact assessments
Industry UsageCommon in energy, manufacturing, and corporate sectorsUsed across various industries including consulting, non-profits, and corporate

While both roles focus on environmental impact, Carbon Performance specialists primarily concentrate on measuring and reducing carbon emissions, whereas Sustainability Analysts handle a wider range of sustainability issues beyond carbon, such as resource use and social impact.

What are popular job titles related to Carbon Performance jobs in Decatur, GA? For Carbon Performance jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Carbon Performance jobs in Decatur, GA look for? The top searched job categories for Carbon Performance jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Carbon Performance jobs? Cities near Decatur, GA with the most Carbon Performance job openings:
Carbon Performance jobs near you
Infographic showing various Carbon Performance job openings in Decatur, GA as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $66,633 per year, or $32 per hour.

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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