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Senior Data Engineer

San Francisco, CA · San Francisco, California, USA

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting
Employment
Full-time — employment source
Employment type: Full-time
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Team
Engineering — team source
Department: Engineering
From the employer’s posting

Before you apply

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Apply at Hyperbolic

What you’ll work on

Full posting

This is Hyperbolic's first dedicated Data Engineer, and you will build our data infrastructure from 0 to 1.

You will sit between our data analysts and engineering, partnering with both to make sure the right data is reliable, fast, and cost-efficient to use.

  • Build the data warehouse and pipelines from scratch

  • Own the data warehouse, the pipelines feeding it, and its tooling

  • Design data models for new business lines like spot and inference

  • Ensure data reliability and quality through testing and documentation

  • Monitor and tune production data systems

From the employer’s posting
This is Hyperbolic's first dedicated Data Engineer, and you will build our data infrastructure from 0 to 1. You'll be one half of a two-person data team, working alongside our data analyst, which means a high degree of autonomy and a direct line to impact. Today our product engineers maintain the data stack on top of their day jobs. You will take ownership of the data warehouse, the pipelines that feed it, and the tooling that keeps it healthy.
You will sit between our data analysts and engineering, partnering with both to make sure the right data is reliable, fast, and cost-efficient to use.
you will build our data infrastructure from 0 to 1
You will take ownership of the data warehouse, the pipelines that feed it, and the tooling that keeps it healthy.
Experience designing data models for new business lines, figuring out what to model and how as new products (like spot and inference) come online
Experience ensuring data reliability and quality through testing, documentation, and governance
Experience supporting production systems: monitoring, troubleshooting, and performance tuning

What you’ll bring

All qualifications

Core experience

  • Independently built and maintained a multi-source data warehouse
  • Deep knowledge of Postgres, including partitioning and archival
  • Experience working with large datasets
  • Familiarity with data lakes and data warehouses and when to use each
  • Strong communication and judgment to push back on tech debt

Preferred experience

  • Familiarity with the AWS ecosystem (this can be learned on the job)
  • Experience setting up CI/CD for data pipelines
  • Experience at an early-stage, high-growth technical company
Qualification wording
Track record of independently building and maintaining a data warehouse that ingests and aggregates data from multiple sources using industry-standard tooling
Deep knowledge of Postgres, including partitioning, data archival, and moving large datasets
Experience working with large datasets
Familiarity with data lakes and data warehouses, and when to use each
Strong communication skills, with the judgment to push back on requests that would add tech debt and explain why
Familiarity with the AWS ecosystem (this can be learned on the job)
Experience setting up CI/CD for data pipelines
Experience at an early-stage, high-growth technical company

Tools in this posting

  • AWS
  • Redshift
  • PostgreSQL
Source — Tool mentions in context
PREFERRED QUALIFICATIONS - Familiarity with the AWS ecosystem (this can be learned on the job) - DBA experience
You will sit between our data analysts and engineering, partnering with both to make sure the right data is reliable, fast, and cost-efficient to use. Our current data stack includes Redshift, Postgres, and Hex, with Polytomic for ingestion. WHO YOU ARE
- Familiarity with data lakes and data warehouses, and when to use each - Deep knowledge of Postgres, including partitioning, data archival, and moving large datasets - Experience working with large datasets

About Hyperbolic

Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud.

In the employer’s words · Read in context · Company website ↗

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Live
First seen by us
Oct 6, 2026 · 23 days ago
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Last seen by us
Oct 29, 2026

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Job description

View original posting ↗

Who We Are

Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By making better use of idle computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.

ABOUT THE ROLE

This is Hyperbolic's first dedicated Data Engineer, and you will build our data infrastructure from 0 to 1. You'll be one half of a two-person data team, working alongside our data analyst, which means a high degree of autonomy and a direct line to impact. Today our product engineers maintain the data stack on top of their day jobs. You will take ownership of the data warehouse, the pipelines that feed it, and the tooling that keeps it healthy.

The timing matters. As we launch new products like inference, our data volume will grow fast, we will add more data sources, and more teams will rely on BI and reporting. Scrappy processes and off-the-shelf tools won't keep up at that scale, and you will build what comes next.

You will sit between our data analysts and engineering, partnering with both to make sure the right data is reliable, fast, and cost-efficient to use.

Our current data stack includes Redshift, Postgres, and Hex, with Polytomic for ingestion.

WHO YOU ARE

  • 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, figuring out what to model and how as new products (like spot and inference) come online

  • Experience ensuring data reliability and quality through testing, documentation, and governance

  • Familiarity with data lakes and data warehouses, and when to use each

  • 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, with the judgment to push back on requests that would add tech debt and explain why

PREFERRED QUALIFICATIONS

  • Familiarity with the AWS ecosystem (this can be learned on the job)

  • 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

Hyperbolic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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San Francisco, California, USA

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