Senior AI Engineer — Healthcare Analytics & AI Pipelines

Oracle

Hagåtña (GU)

On-site

USD 89,000 - 210,000

Full time

14 days+
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Benefits offered by this job

Medical insurance
401(k) plan with company match
Paid time off

Job summary

Oracle Health is hiring AI engineers to design and build cloud-based data pipelines for healthcare data, enabling scalable analytics across EHR and RCM systems. You will work with LLMs, AI agents, and modern data platforms to transform data with low latency.

Ideal candidates have 5+ years in software, strong Python/Java, SQL, and experience with Spark and ETL. Cloud experience and AI-driven innovation are essential for delivering high-scale solutions.

Qualifications

  • BS/MS in Computer Science or equivalent.
  • 5+ years of relevant software engineering experience.
  • Strong Python/Java skills.
  • Strong knowledge of SQL.
  • Deep expertise in data engineering: ETL, data transformation, data modeling (Spark, SQL).
  • Experience building high-scale distributed data systems.
  • Cloud experience (OCI/AWS/Azure).
  • Experience with creating major new functionality from design to production deployment.
  • Experience collaborating across multiple functional areas to develop components.

Responsibilities

  • Build and enhance data pipelines, ETL workflows, and transformations.
  • Contribute to LLM/agent-based features and analytics use cases.
  • Work with EHR/RCM datasets and support KPI/dashboard development.
  • Learn and apply best practices in cloud, data engineering, and LLMOps.

Skills

Python
Java
SQL
Data pipelines
LLMs

Education

BS/MS in Computer Science or equivalent

Tools

Spark
ETL
OCI/AWS/Azure

Job description

Oracle Health is hiring AI engineers to design and build cloud-based data pipelines for healthcare data, enabling scalable analytics across EHR and RCM systems. You will work with LLMs, AI agents, and modern data platforms to transform data with low latency.

Ideal candidates have 5+ years in software, strong Python/Java, SQL, and experience with Spark and ETL. Cloud experience and AI-driven innovation are essential for delivering high-scale solutions.

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