Staff Engineer

• Lead the design, implementation, and expansion of the company's data platform, including ingestion pipelines, data warehouse/lakehouse architecture, transformation layers, and data serving infrastructure.
• Define and champion engineering standards, best practices, and architectural patterns for data infrastructure across the organization.
• Collaborate cross-functionally to understand data needs and translate them into scalable, reliable platform capabilities.
• Drive technical decisions on tooling, frameworks, and vendor selection for the data stack.

This role enables organizations to reduce, remove, and utilize their emissions by building a robust data platform that enhances scientific capabilities and drives measurable climate action.

• Extensive experience in data engineering, platform engineering, or a related discipline, with a track record of building and scaling data infrastructure across multiple products or business domains.
• Demonstrated experience designing and implementing end-to-end data platforms, including batch and/or streaming pipelines, data warehouse or lakehouse architectures, and transformation frameworks.
• Deep expertise in at least one major cloud data ecosystem (AWS, GCP, or Azure) and familiarity with modern data stack tooling (e.g., dbt, Spark, Airflow/Dagster, Snowflake/BigQuery/Databricks, Kafka).
• Strong software engineering fundamentals with proficiency in Python and/or Scala/Java for data systems.

Salary range: $184,000-$225,000 a year. U.S. benefits include comprehensive medical, dental, and vision coverage; flexible vacation policy and ten company holidays plus winter break; 16 weeks fully paid parental and family leave; remote-friendly work culture with annual retreats; work-from-home setup reimbursement and monthly stipend.

Carbon Direct is a purpose-driven carbon management firm dedicated to helping organizations around the world reach their climate goals by making carbon science accessible and actionable with an end-to-end platform.