Staff Engineer, Data Platform

Highlights

• Design core data infrastructure powering automated scientific discovery at scale.
• Build pipelines ingesting lab instruments, public datasets and research literature.
• Run observable, fault-tolerant orchestration for multi-step science pipelines.

What they offer

• Competitive base compensation with bonus potential and early-stage equity
• Medical, dental and vision coverage
• Employer-paid life and disability insurance
• Flexible time off with company-wide holidays and paid parental leave
• Educational assistance, commuter benefits and subsidized lunch

Ideal candidate

A seasoned data infrastructure leader who cares deeply about principled system design and durable platforms. You thrive translating scientific needs into architecture while mentoring engineers and raising the technical bar.

Requirements

• Bachelor's or Master's in Computer Science, Engineering or related field and 8+ years as software or data engineer focused on data infrastructure
• Designed and shipped data platform components from the ground up including ingestion, storage and orchestration
• Fluent in Python and SQL and writes production-quality code
• Production experience with relational and NoSQL databases, schema design and query optimization at scale
• Proven cross-functional work with scientists, ML researchers and engineers
• Experience with cloud infrastructure and containerized deployment (AWS, Kubernetes)