
Senior Data Engineer
3 weeks ago
- Design, build, and maintain the data infrastructure that powers the MRV system;
- Develop robust data pipelines, manage cloud-based data warehouses, and ensure seamless integration of geospatial, climate, community, and biodiversity datasets;
- Enable scalable, secure, and standards-compliant data operations that support carbon accounting, biodiversity monitoring, and community development reporting.
- Employment type: Project-based (Full-time)
- Bachelor’s or master’s degree in computer science, Data Engineering, or a related field;
- At least 5 years of experience in data engineering, with a focus on cloud-based infrastructure and big data systems. Experience in environmental, climate, or sustainability projects is a strong advantage.
- Infrastructure-focused – Thrive in building scalable, cloud-native data systems;
- Detail-oriented – Ensure data integrity, security, and performance at every step;
- Collaborative – Work well with analysts, field teams, and external partners;
- Mission-aligned –Passionate about using engineering to support climate and environmental goals;
- Technical Skills:
Cloud platforms (Google BigQuery, Cloud Storage, Cloud Functions)
Data orchestration (Apache Airflow, Prefect)
Programming (Python, SQL, PySpark)
Data modeling and schema design for analytical workloads
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