Data Systems Engineer
Build pipelines and power data-driven products
Engineering · Palo Alto · full-time
Connectors and data paths are critical to Sycamore’s platform. You’ll build the pipelines and integrations that let AI agents securely access, transform, and act on enterprise data – and power data-driven product experiences on top.
What you’ll do
- Build and maintain connectors and integrations across enterprise data sources
- Design and implement reliable data pipelines that agents and products depend on
- Implement MCP (Model Context Protocol) and related integrations where they matter
- Work with customer engineering to understand integration requirements from the field
What we’re looking for
- Experience building data pipelines, ETL systems, or integration platforms
- Familiarity with enterprise data systems (databases, APIs, SaaS platforms)
- Interest in MCP and the emerging ecosystem of agent-data interfaces
- Strong systems thinking – you care about reliability, latency, and correctness