Key skills
PythonJavaSQLAIGenAILLMClaudeAgenticETLData EngineeringAnalyticsSparkAWSAzureOracle
About this role
Oracle Health is focused on building cloud-native healthcare solutions with AI at their core, aimed at transforming hospital and physician workflows. The role involves designing and building high-scale data processing pipelines for healthcare data, enabling better patient care and efficient operations.
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
Requirements:
- BS/MS in Computer Science or equivalent
- 5+ years of relevant software engineering experience
- Strong software engineering skills in Python/Java
- 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 in a software system all the way from design, through development and testing to production deployment
- Experience with collaborating across multiple functional areas to develop components that are part of a larger system
- Experience with LLMs, prompt engineering, and agent frameworks
- Experience with blending hands-on coding with smart adoption of AI-driven solutions to rapidly prototype, test, iterate, and deliver reliable code
- Experience using the ChatGPT, Claude or similar models on a routine basis to improve productivity
- Experience with agentic architectures or GenAI platforms
- Background in healthcare or digital health systems
- Understanding of EHR systems and RCM workflows
- Familiarity with healthcare coding standards (ICD/CPT)