Senior Data Engineer: Build Scalable Data Warehouse for AI

Hyperbolic Labs; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Hyperbolic Labs is building its first dedicated Data Engineer to create and scale our data infrastructure from 0 to 1. You will own the data warehouse, pipelines feeding it, and the tooling to keep the stack healthy.

You will partner with data analysts and product engineers to ensure reliable, fast, and cost-efficient data usage as we launch new products like inference. You will work with Redshift, Postgres, Hex, and Polytomic for ingestion, designing data models for new lines, and ensuring data

Qualifications

• Independently build and maintain a data warehouse ingesting data from multiple sources
• Design data models for new products and data sources
• Ensure data reliability and governance through testing and documentation
• Familiar with data lakes vs data warehouses and when to use each
• Deep knowledge of Postgres including partitioning and large data movement
• Experience working with large datasets and production data systems
• Ability to communicate trade-offs and push back on tech debt when needed

Responsibilities

• Build and own the data warehouse, pipelines, and healthy tooling
• Collaborate between data analysts and engineers to ensure reliable, fast, cost-efficient data access
• Scale data infrastructure as product lines like inference grow
• Maintain data quality, governance, and documentation for the data stack
• Manage monitoring, troubleshooting, and performance tuning for production data pipelines

Skills

Data warehouse design

Postgres expertise

Data modeling

Data testing & governance

Big data handling

Production systems monitoring

Communication skills

Data lakes vs warehouses

Tools

Redshift

Postgres

Hex

Polytomic

Job description

Hyperbolic Labs is building its first dedicated Data Engineer to create and scale our data infrastructure from 0 to 1. You will own the data warehouse, pipelines feeding it, and the tooling to keep the stack healthy.

You will partner with data analysts and product engineers to ensure reliable, fast, and cost-efficient data usage as we launch new products like inference. You will work with Redshift, Postgres, Hex, and Polytomic for ingestion, designing data models for new lines, and ensuring data