[Remote] Data Engineering at Supabase

The Data Engineer will be responsible for designing, building, and maintaining scalable ETL/ELT pipelines using Airflow and Meltano, developing and optimizing dbt models, and implementing data quality monitoring, testing, and alerting. They will manage data ingestion from multiple sources, manage BigQuery datasets and slot allocation, deploy and maintain Airflow DAGs, and implement infrastructure as code using Pulumi. Responsibilities also include monitoring pipeline performance, optimizing for cost and efficiency, building and maintaining a multi-layered data warehouse architecture, designing and implementing data governance policies, optimizing BigQuery performance, developing and maintaining reverse ETL pipelines, building attribution models, creating automated triggers for sales and marketing outreach, and implementing data quality checks for reverse ETL processes. The role involves working closely with other teams, maintaining documentation, participating in code reviews, and supporting team members in using datasets and analytical tools.