AI Expert Senior Software Engineer – Healthcare Analytics - Remote

Oracle

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$79,200–$178,100 / yr
Posted
30 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k
This role $129k
$58k most similar roles pay here $278k

This role pays less than 94% of similar roles. Most pay $164,707–$242,562 — the shaded band above. At the midpoint, this role pays about $129k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 467 open roles on FindRole.

Listed pay typically runs $97,500–$209,500 across 353 roles with salary data.

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At a glance

TL;DR · AI Expert Senior Software Engineer – Healthcare Analytics - Remote

As a Senior Software Engineer in the Healthcare Analytics team, you will be an individual contributor responsible for building and enhancing data pipelines, ETL workflows, and transformations. You will contribute to LLM/agent-based features and support KPI/dashboard development using EHR/RCM datasets. Your day-to-day tasks include applying best practices in cloud, data engineering, and LLMOps while collaborating across multiple functional areas to develop components of a larger system. The role requires deep expertise in Python or Java, SQL, and data engineering tools like Spark and SQL for high-scale distributed data systems. Experience with cloud platforms such as OCI, AWS, or Azure is essential, along with familiarity with LLMs, prompt engineering, and agent frameworks. Knowledge of healthcare coding standards (ICD/CPT) and EHR/RCM workflows is a plus, given the focus on improving productivity through AI-driven solutions in a rapidly evolving digital health landscape.

What you'll do

  • Build and enhance data pipelines, ETL workflows, and transformations.
  • Contribute to LLM/agent-based features and analytics use cases.
  • Work with EHR/RCM datasets to support KPI/dashboard development.
  • Apply best practices in cloud, data engineering, and LLMOps.
  • Experience building high-scale distributed data systems.
  • Blend hands-on coding with AI-driven solutions for rapid prototyping.

What we're looking for

  • BS/MS in Computer Science or equivalent.
  • 5+ years of relevant software engineering experience.
  • Strong skills in Python and SQL.
  • Deep expertise in data engineering, including ETL and data modeling.
  • Experience building high-scale distributed data systems on cloud platforms.
  • Knowledge of LLMs, prompt engineering, and agent frameworks.
  • Ability to collaborate across multiple functional areas for system development.

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