Member of Technical Staff (Software Engineer, Data Platform)

Highlights

• Own end-to-end data lifecycle powering product features and AI workloads.
• Build self-serve platform letting teams discover data and run pipelines.
• Design large-scale pipelines powering analytics and experimentation.

What they offer

• Equity

Ideal candidate

Seasoned data infrastructure builder who thinks in systems and owns platforms end to end. You care about reliability, developer experience, and enabling AI and product teams with self-serve, trustworthy data.

Requirements

• 5+ years (Senior) or 8+ years (Staff) software engineering experience
• Strong experience building production data infrastructure systems
• Hands-on experience with batch and/or streaming data processing at scale
• Deep familiarity with data orchestration systems (Airflow, Dagster, or similar)
• Proficiency in Python and at least one additional backend language (Go, TypeScript, etc.)
• Strong systems thinking around reliability, latency, cost, and complexity tradeoffs
• Experience supporting ML/AI workflows, training pipelines, or evaluation systems
• Familiarity with data quality, lineage, observability, and governance tooling
• Prior ownership of internal platforms used by many teams