Senior Data Engineer

The role

You will build the data infrastructure from 0 to 1 as the first dedicated Data Engineer. You will take ownership of the data warehouse, pipelines, and tooling while partnering with data analysts and engineering.

What you will do

• Build data infrastructure from 0 to 1
• Take ownership of the data warehouse
• Manage pipelines that feed the data warehouse
• Manage tooling to keep the data stack healthy
• Partner with data analysts and engineering to ensure data is reliable, fast, and cost-efficient

Required qualifications

• Track record of independently building and maintaining a data warehouse that ingests and aggregates data from multiple sources using industry-standard tooling
• Experience designing data models for new business lines
• Experience ensuring data reliability and quality through testing, documentation, and governance
• Familiarity with data lakes and data warehouses
• Deep knowledge of Postgres, including partitioning, data archival, and moving large datasets
• Experience working with large datasets
• Experience supporting production systems: monitoring, troubleshooting, and performance tuning
• Strong communication skills

Nice to have

• Familiarity with the AWS ecosystem
• DBA experience
• Experience setting up CI/CD for data pipelines
• Background in GPU infrastructure, cloud computing, or AI infrastructure
• Experience at an early-stage, high-growth technical company

About the company

Hyperbolic makes global AI compute liquid by bringing fragmented, heterogeneous GPU capacity together into one unified platform. They aim to build a future where compute flows as freely as electricity.