Analytics Engineer

Dormont Manufacturing Co; San Francisco (CA); On-site; USD 110,000 - 140,000; Full time

Job summary

Dormont Manufacturing Co in San Francisco is seeking a Technical Analytics Engineer to manage their full data stack, focusing on database architecture, data models, and business reporting.

This position requires 4+ years of experience in data engineering, strong SQL and Python skills, and hands-on expertise with ETL/ELT tools. If you're excited about building AI-driven solutions and tackling data challenges, we encourage you to apply.

Qualifications

• 4+ years in a data engineering, data science, or full-stack data role.
• Hands-on experience with ETL/ELT tools.
• Strong knowledge of statistics.

Responsibilities

• Design and manage database architecture and data models.
• Build and maintain ETL/ELT pipelines and orchestration workflows.
• Own business reporting, datasets, dashboards, metrics, and self-serve analytics.

Skills

Expert SQL

Strong Python or R

Data modeling

ETL/ELT tools (dbt, Airflow, Dagster)

BI reporting (Metabase)

Statistics and experimentation

Job description

We are an applied AI lab building end-to-end software agents.

We’re the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.

Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.

Building Devin and Windsurf is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us.

About the Role

We’re hiring a technical Analytics Engineer to own our full data stack – from database architecture and pipelines to integrations and reporting. You’ll design and maintain the systems that keep our data reliable, accessible, and actionable across the company with a particular focus on product and GTM reporting.

In this role you will:

• Design and manage database architecture and data models
• Build and maintain ETL/ELT pipelines and orchestration workflows
• Create and manage new data integrations across internal and external systems
• Own business reporting: datasets, dashboards, metrics, and self-serve analytics
• Ensure data quality, observability, governance, and documentation

Requirements for the role:

• 4+ years in a data engineering, data science, or full-stack data role
• Expert SQL and strong Python (or R)
• Experience with data modeling, warehouse architecture, and BI-oriented schema design
• Hands‑on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)
• Experience building or maintaining BI reporting (Metabase a plus)
• Strong knowledge of statistics and experimentation
• Based in SF or NYC