Senior Software Developer – Healthcare Analytics & AI

Oracle; United States; On-site; USD 79,200 - 209,500; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) Savings and Investment Plan with company match

Paid parental leave and adoption assistance

Employee Stock Purchase Plan

Job summary

Oracle is seeking a skilled software engineer to join Oracle Health in the United States. The role focuses on modernizing healthcare data systems using cloud-native solutions powered by AI.

Key responsibilities include enhancing data pipelines, contributing to LLM features, and collaborating across teams. The ideal candidate has a BS/MS in Computer Science and 5+ years of experience in software engineering with proficiency in Python and Java.

Qualifications

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

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.

Skills

Python

Java

SQL

ETL

Data Transformation

Data Modeling

Spark

Cloud (OCI, AWS, Azure)

Large Language Models

Prompt Engineering

Education

BS/MS in Computer Science or equivalent

Job description

About the Role

At Oracle Health, we’re building the future of healthcare with cloud-native solutions powered by AI. This role focuses on modernizing Electronic Health Record and Revenue Cycle Management systems using large language models and AI agents. The goal is to build high‑scale, low‑latency data pipelines that ingest, transform, and analyze massive volumes of healthcare data to support clinical decision support, revenue optimization, and workflow automation.

Key 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.

Mandatory Qualifications

• BS/MS in Computer Science or equivalent.
• 5+ years of relevant software engineering experience.
• Strong software engineering skills in Python and Java.
• Strong knowledge of SQL.
• Deep expertise in data engineering: ETL, data transformation, data modeling, and Spark.
• Experience building high‑scale distributed data systems.
• Cloud experience (OCI, AWS, or Azure).
• Experience with creating major new functionality in a software system from design through development, testing, and production deployment.
• Experience collaborating across multiple functional areas to develop components that are part of a larger system.
• Experience with LLMs, prompt engineering, and agent frameworks.
• Experience blending hands‑on coding with smart adoption of AI‑driven solutions to prototype, test, iterate, and deliver reliable code.
• Experience using ChatGPT, Claude, or similar models on a routine basis to improve productivity.

Preferred Qualifications

• 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).

Compensation and Benefits

US: Hiring range USD $79,200 – $209,500 per year. Eligible for bonus and equity.

• Medical, dental, and vision insurance.
• Short‑term and long‑term disability.
• Life insurance and AD&D.
• Supplemental life insurance.
• Health care and dependent care Flexible Spending Accounts.
• Pre‑tax commuter and parking benefits.
• 401(k) Savings and Investment Plan with company match.
• Paid time off and flexible vacation policy.
• Paid sick leave.
• Paid parental leave and adoption assistance.
• Employee Stock Purchase Plan.
• Financial planning and group legal services.
• Voluntary benefits (auto, homeowner, pet insurance).