Senior Data Engineer (AI)

TL;DR

Senior Data Engineer (AI): Building and operating end-to-end data pipelines and infrastructure with an accent on scalability, reliability, and data modeling. Focus on designing ingestion systems, managing infrastructure as code, and leveraging AI tooling to drive product and growth decisions.

Location: Fully Remote (Global)

Company

Supabase is a globally distributed, open-source-first Postgres development platform providing a complete backend solution for developers.

What you will do

• Design and own end-to-end data ingestion from source systems into BigQuery using Airflow, Dataflow, and Python.
• Model data using dbt and deliver actionable insights through Hex dashboards.
• Build and scale data pipelines to handle multi-terabyte tables and billions of events.
• Manage data platform infrastructure as code using Pulumi.
• Partner with growth, finance, and product teams to translate business needs into reliable data models.
• Integrate AI tooling into daily workflows while maintaining production accountability.

Requirements

• 5+ years of experience building and operating production data pipelines and warehouses.
• Deep expertise with the stack: GCP, BigQuery, dbt, Airflow, Dataflow, and infrastructure as code (Pulumi or Terraform).
• Strong SQL skills with the ability to bridge the gap between pipeline engineering and data analysis.
• Proven experience building AI into daily workflows with a focus on human-in-the-loop accountability.
• Ability to communicate complex data insights to non-technical stakeholders.
• Experience navigating ambiguity and designing for scale in a fast-growing environment.

Culture & Benefits

• Fully remote work environment with a global team.
• ESOP (equity ownership) for all team members.
• Comprehensive health insurance coverage (100% for employees, 80% for dependents).
• Annual education allowance for professional development.
• Tech allowance for setting up your ideal workspace.
• Annual company-wide off-sites in new cities.

Hiring process

• Application review by the team.
• Introductory video call.
• Up to four interviews with team leads, future teammates, cross-functional partners, and leadership.