Data Engineer at fast-growing social impact platform As a Data Engineer, you will build and scale robust data pipelines that power a platform dedicated to social good. You will design efficient architectures to process large-scale datasets, ensuring data integrity and accessibility for analytics. This role is pivotal in transforming raw information into actionable insights that drive global positive change. Location: Remote Why this role is remarkable:

Work on technology that directly contributes to meaningful social impact and global sustainability goals. Join a well‑funded startup backed by top‑tier VCs during a high‑growth phase of development. Influence the foundational data architecture in a culture that prioritizes technical excellence and mission‑driven work.

What you will do:

Design, develop, and maintain scalable ETL/ELT pipelines to support complex data ecosystems. Collaborate with cross‑functional teams to integrate diverse data sources into a centralized warehouse. Optimize data storage and retrieval processes to ensure high performance and reliability for downstream users.

The ideal candidate:

Proven experience in building production‑grade data pipelines using modern tools like Spark, Airflow, or dbt. Strong proficiency in SQL and at least one programming language such as Python or Scala. Experience with cloud data platforms and a deep understanding of distributed systems and data modeling.

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