Senior Data Engineer
Hyperbolic is an open-access AI cloud providing on-demand GPU infrastructure, reserved and private cloud capacity, managed inference, and AI compute services.
Funding history
About Hyperbolic
Hyperbolic operates an AI cloud platform for training, fine-tuning, and serving AI models at scale. It provides self-serve GPU instances and clusters, reserved capacity, private cloud infrastructure, OpenAI-compatible inference APIs, dedicated model hosting, and related infrastructure services for developers, researchers, startups, and enterprises.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build the company's data infrastructure from 0 to 1 as the first dedicated Data Engineer. You will own the data warehouse, the pipelines feeding it, and the tooling that keeps it healthy, partnering with analysts and engineering. The current stack includes Redshift, Postgres, Hex, and Polytomic.
Requirements
- Track record of independently building and maintaining a data warehouse from multiple sources
- Experience designing data models
- Experience with data reliability, testing, and governance
- Familiarity with data lakes and warehouses
- Deep Postgres knowledge including partitioning and archival
- Experience with large datasets
- Experience supporting production systems
- Strong communication skills
Responsibilities
- Own the data warehouse and ingestion pipelines
- Design data models for new business lines
- Ensure data reliability and quality through testing, documentation, and governance
- Support production systems with monitoring, troubleshooting, and performance tuning
- Partner with data analysts and engineering