Climate Mitigation Data Engineer

Open Earth Foundation is a nonprofit technology organization building open-source digital infrastructure for climate action. Its work focuses on climate data, transparency and digital tools that help cities, governments and organizations measure emissions, track progress and make better-informed climate decisions.

Responsibilities

• Design and maintain data models for greenhouse-gas inventories, activity data, emission factors, sources and methodologies.

• Build and maintain pipelines that ingest national, global and city-level datasets.

• Review methodologies used for emissions calculations and validate data inputs, assumptions and calculation logic.

• Implement reporting rules aligned with frameworks such as the GHG Protocol for Cities and CDP.

• Set up data-quality checks and ensure climate datasets remain reproducible and traceable.

• Document data models, pipelines and calculation methodologies.

• Collaborate with data, engineering, AI, design and product teams.

• Support cities and partner organizations with emissions data and reporting.

• Use AI tools for data discovery, cleaning, documentation and methodology review. LinkedIn

Requirements

• 5+ years of experience in data engineering or a closely related role.

• Strong Python and SQL skills.

• Knowledge of greenhouse-gas accounting frameworks such as GPC or IPCC methodologies.

• Good understanding of relational databases and schema design, including PostgreSQL.

• Experience with data pipeline or orchestration tools such as dbt, Airflow, Dagster or Mage.

• Experience with cloud platforms such as AWS, GCP or Azure.

• Experience with data warehouses such as BigQuery, Snowflake, Redshift or PostgreSQL.

• Ability to explain technical concepts clearly to non-technical stakeholders. LinkedIn

Nice to have

• Experience working with city or national greenhouse-gas inventories.

• Knowledge of GPC sectors, scopes and BASIC/BASIC+ reporting.

• Experience with geospatial tools such as PostGIS or GeoPandas.

• Experience using AI or LLM tools in data workflows.

• MSc or PhD in Environmental Science, Climate Science, Environmental Engineering, Data Science or a related field. LinkedIn

Conditions

• Fully remote and international position.

• Full-time employment.

• Salary of $55,000–$70,000 USD per year, depending on experience and location.

• Unlimited paid time off.

• Paid holidays and paid sick leave.

• Annual team retreat.

• Flexible schedule, although candidates should be able to overlap with meetings between approximately 8:00–11:00 PST.

• Priority is given to applications submitted by 15 November 2026