Senior Data Engineer owning end-to-end data systems at Supabase, from ingestion and modeling in BigQuery/dbt to analysis in Hex. Requires 5+ years in production data pipelines, strong GCP/SQL skills, AI-first approach, and ability to partner directly with growth, finance, and product teams.
Salary not listed
Remote5+ YOEData Engineering
About the role
Responsibilities
Own data from source to delivery: Design ingestion from source systems into BigQuery with Airflow (Cloud Composer), Dataflow, and Python loaders; model it in dbt; and deliver the analysis in Hex.
Build for 10x growth: Ensure every pipeline and model survives rapid data volume increases, with focus on reliability, cost, and partition strategy.
Explain metric drivers: Trace numbers from Hex dashboards through dbt models to raw sources to identify what impacts them.
Work AI-first: Leverage modern AI tooling (coding agents, LLMs) to accelerate work across the stack while maintaining accountability for production correctness, cost, and ownership.
Partner with business teams: Proactively understand needs of growth, finance, and product teams, translating questions into reliable models and answers.
Manage infrastructure as code: Provision and evolve the data platform with Pulumi; treat pipelines as production systems.
Stay on the frontier: Track and adopt new developments in data engineering and AI.
Requirements
5+ years building and operating production data pipelines and warehouses.
Deep experience with GCP, BigQuery, dbt, Airflow, Dataflow, Metaplane, Hex, and infrastructure as code (Pulumi or Terraform).
Strong SQL skills; able to build pipelines and perform analysis.
Build AI into daily work with clear understanding of human oversight needs.
Clear communication with non-technical stakeholders; ability to uncover true needs.
Comfortable with ambiguity, moving quickly, and designing for scale.
Passion for data with a proven track record.
Nice-to-Haves
Experience with the exact stack or close equivalents.
Proactive approach to adopting frontier tools in data engineering and AI.
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