Senior Data Engineer

Responsibilities

• Own the end-to-end data lifecycle from ingestion into BigQuery to final analysis in Hex.
• Design and operate scalable pipelines using Airflow (Cloud Composer), Dataflow, and Python.
• Model data using dbt to ensure reliability and cost-efficiency as data volumes scale.
• Partner with growth, finance, and product teams to translate business questions into trustworthy models.
• Manage data infrastructure as code using Pulumi or similar tools.
• Leverage modern AI tooling and LLMs to accelerate development while maintaining high standards of correctness.

Requirements

• 5+ years of experience building and operating production data pipelines and warehouses.
• Deep expertise with GCP, BigQuery, dbt, and Airflow.
• Strong SQL skills with the ability to perform both engineering and deep data analysis.
• Experience with infrastructure as code (Pulumi or Terraform).
• Proficiency in using AI tools to enhance engineering workflows.
• Ability to communicate complex technical findings to non-technical stakeholders.

Benefits

• Fully remote work environment with a co-working allowance.
• Equity ownership (ESOP) for every team member.
• Tech allowance to set up your ideal workspace.
• Comprehensive health insurance coverage.
• Annual company-wide off-sites for connection and collaboration.
• Annual professional development and education allowance.

About the Company

Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. We are a globally distributed, open-source-first team dedicated to building tools that developers love.