Senior Member of Technical Staff - US Citizenship Required

Oracle Oracle · Enterprise · United States

Seeking a Senior Member of Technical Staff with 5+ years of experience to design and build high-scale, cloud-based data processing pipelines for healthcare data. The role involves leveraging LLMs and AI agents for features and analytics, working with EHR/RCM datasets, and applying best practices in cloud, data engineering, and LLMOps. Requires strong Python/Java, SQL, Spark, and cloud experience, with familiarity in LLMs, prompt engineering, and agent frameworks.

What you'd actually do

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

Skills

Required

  • 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

Nice to have

  • 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)

What the JD emphasized

  • 5+ years of relevant software engineering experience
  • Deep expertise in data engineering: ETL, data transformation, data modeling (Spark, SQL)
  • Experience building high-scale distributed data systems
  • 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.

Other signals

  • design and build high-scale, cloud-based data processing pipelines
  • leverage LLMs, AI agents, and modern data platforms
  • clinical decision support, revenue optimization, and workflow automation