Software Engineer - Science Platform (BE) - Seattle

What this role involves

Haus is seeking a backend engineer to build and maintain the science platform that runs geo-based experiments for marketing incrementality measurement. The role involves working with Python, Metaflow, Kubernetes, and BigQuery to develop data pipelines, statistical estimation libraries, and orchestration systems. The engineer will collaborate with applied scientists and product engineers to deliver reliable analysis results.

Skills this posting asks for

• python
• metaflow
• kubernetes
• bigquery
• statistical estimation
• data pipelines
• monitoring
• alerting
• claude code
• cursor

Requirements

• 3 years of experience
• Level: mid
• Remote policy: onsite

From the employer’s posting

About Haus Haus is the causal marketing platform top businesses trust to optimize billions in ad spend worldwide. With support from PhD economists, data scientists, and growth experts, Haus’ AI-driven technology translates complex marketing measurement into clear action and outcomes, enabling bran…