Nautilus Biotechnology

Data Engineer

• Design and implement data pipelines and ETLs that process protein measurement data at scale, turning instrument outputs into reliable, query-able scientific results.
• Improve the architecture of existing cloud systems: identify structural weaknesses, propose better approaches, and drive implementation alongside the technical lead.
• Maintain and evolve the APIs and database schemas that serve internal teams including bioinformatics, science, and product development, adapting as their needs grow.
• Contribute to the team's DevOps practice: optimize AWS costs, manage cloud deployments, improve system security, and drive performance improvements through infrastructure changes.
• Work cross-functionally with scientific and software teams to define data quality metrics, understand how downstream consumers use pipeline outputs, and ensure the platform meets their needs.
• Surface and advocate for changes to project priorities and architecture across the cloud pipeline and adjacent projects.

Senior Software Engineer II, Cloud Data Pipeline