Data Platform Engineer — Real-Time Analytics & AI

Speedrun Talent Network; United States; Presencial; USD 120 000 - 160 000; Tempo integral

Resumo da oferta

Bayesian Health is seeking a Software Engineer for the Data & Analytics Platform to design and scale our data infrastructure, enabling real-time clinical insights across hospitals. You will collaborate with engineers, data scientists, clinicians, and product teams to deliver robust analytics that drive patient care.

Key work includes building a secure data lakehouse, implementing self-serve insights with LLMs, and defining product-wide analytics standards.

Qualificações

• BS in Computer Science or a related technical discipline.
• 5+ years of experience building scalable, secure data or analytics infrastructure on a cloud platform (preferably AWS).
• Proficient in Python and SQL.
• Deep knowledge of cloud-based data warehouses, dbt, workflow orchestration, and BI tools like Tableau or QuickSight; integrating with existing infrastructure.
• Experience leveraging LLMs in distributed data processing and analytics systems.
• Excellent communication and ability to collaborate with cross-functional teams.

Responsabilidades

• Design pipelines and data models to turn clinical data into reliable, actionable insights.
• Build and scale the data lakehouse/warehouse and secure, scalable pipelines.
• Create self-serve insights with LLMs and automation for clinical, success, and product teams.
• Monitor KPIs and model performance across clients and modules using real-time data.

Descrição da oferta de emprego

Bayesian Health is seeking a Software Engineer for the Data & Analytics Platform to design and scale our data infrastructure, enabling real-time clinical insights across hospitals. You will collaborate with engineers, data scientists, clinicians, and product teams to deliver robust analytics that drive patient care.

Key work includes building a secure data lakehouse, implementing self-serve insights with LLMs, and defining product-wide analytics standards.