Senior Data Engineer

## About the Role As a Senior Data Engineer at Supabase, you'll play a critical role in driving business decisions with data insights. You'll own data systems end-to-end, from raw source to analysis, and work closely with growth, finance, and product teams to understand their needs and deliver actionable insights. Your expertise in data pipelines, warehouses, and AI tooling will be essential in designing and operating scalable data systems.

The data team at Supabase is responsible for providing a complete backend solution, including database, auth, storage, edge functions, realtime, and vector search. As a senior data engineer, you'll be part of a team that's passionate about data and committed to using it to drive business decisions.

You'll report to the Lead Data Engineer and work collaboratively with cross-functional teams to design and operate data systems that can handle rapid growth. Your ability to communicate complex data insights to non-technical stakeholders will be essential in driving business decisions.

## What You Will Do - Design and operate data pipelines using Airflow, Dataflow, and Python loaders - Model data in dbt and deliver analysis in Hex - Build and manage data infrastructure using Pulumi and treat pipelines as production systems - Work closely with growth, finance, and product teams to understand their needs and deliver actionable insights - Explain what's driving metrics and numbers, tracing them back to raw sources and providing insights to business teams - Partner directly with business teams to translate messy questions into models and answers - Manage infrastructure as code and provision and evolve the data platform - Stay up-to-date with new tools and technologies in data engineering and AI, and bring them into the team - Use AI tooling to move faster across the stack, while staying accountable for output and correctness - Own data from source to delivery, with no handoffs or finger-pointing

## What We Are Looking For - 5+ years of experience building and operating production data pipelines and warehouses - Deep expertise in GCP, BigQuery, dbt, Airflow, Dataflow, and infrastructure as code (Pulumi or Terraform) - Strong SQL skills and ability to build pipelines and read metrics - Experience with AI tooling and ability to work with coding agents and LLMs - Ability to communicate complex data insights to non-technical stakeholders - Experience with data modeling and analysis, and ability to deliver actionable insights - Strong collaboration and communication skills, with ability to work closely with cross-functional teams - Passion for data and commitment to using it to drive business decisions

## Nice to Have - Experience with Metaplane and Hex - Knowledge of cloud-based data warehousing and ETL tools - Experience with data governance and data quality - Certification in data engineering or related field

## Benefits and Perks - Fully remote work arrangement, with WeWork membership or co-working allowance - Equity ownership in the company (ESOP) - Opportunities for professional growth and career development - Collaborative and dynamic work environment - Access to cutting-edge tools and technologies - Flexible PTO and sick leave policy - Health insurance and other benefits - Remote stipend and other perks

- Tip: Make sure you have a strong portfolio of data engineering projects, including examples of data pipelines, warehouses, and AI tooling.

• Be prepared to talk about your experience with data modeling and analysis, and how you've used data to drive business decisions.
• Show your passion for data and commitment to using it to drive business decisions.
• Highlight your ability to communicate complex data insights to non-technical stakeholders.
• Be ready to discuss your experience with AI tooling and how you've used it to move faster across the stack.
• Research the company and role thoroughly, and be prepared to ask informed questions during the interview process.
• Don't be afraid to negotiate salary and benefits - Supabase offers a competitive package, but it's always worth discussing.