togetherai

Staff Data Warehouse Engineer

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At a Glance

Location
San Francisco
Compensation
r this full-time position is: $240,000 - $275,000 + equity + benefits. Our sala
Posted
2026-03-11T21:14:12-04:00

Key Requirements

Required Skills

PythonSQLSpark

Domain Knowledge

  • Automation

Benefits & Perks

Health Insurance

on, startup equity, health insurance and other competitive benefits. The US

Requirements

Strong warehouse fundamentals and production experience delivering trusted datasets and metrics.

Expert

SQL

(window functions, dimensional modeling, performance tuning).

Hands-on with

dbt

Compensation & Benefits

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $240,000 - $275,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Responsibilities

Together AI is building high-performance inference compute and the software platform around it. We’re looking for a

Staff Data Warehouse Engineer

with strong fundamentals and high growth potential to evolve into a technical lead. You’ll design and operate the warehouse from

bronze → silver → gold

, own core data models and metrics, and raise the bar on data quality and governance across the org.

About the Company

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.