Data/AI Engineer

Cardinal Health

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$94,900–$135,600 / yr
Posted
2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $177k
This role $115k
$80k most similar roles pay here $233k

This role pays less than 92% of similar roles. Most pay $142,400–$211,200 — the shaded band above. At the midpoint, this role pays about $115k versus about $177k for comparable roles.

Based on 240 similar postings.

Employer

About Cardinal Health

Cardinal Health is a global healthcare services and products company specializing in pharmaceutical distribution, medical products, and supply chain solutions for healthcare providers and pharmacies. Industry: Healthcare Distribution & Services

Cardinal Health currently has 39 open roles on FindRole.

Listed pay typically runs $114,850–$165,110 across 38 roles with salary data.

Most-posted roles

View all roles at Cardinal Health

At a glance

TL;DR · Data/AI Engineer

As a Senior Data/AI Engineer at Specialty Networks, you will lead the design and delivery of data and AI solutions across Lakehouse and SQL Server environments on the Data & AI Engineering team. Your responsibilities include owning projects from problem framing to production deployment, developing modern healthcare data platforms using medallion architecture and Delta Lake, and building natural language AI capabilities such as NLP/NLU and retrieval-augmented generation (RAG). You will work with diverse healthcare data including EHR/EMR, practice management, pharmacy, claims, and clinical notes while adhering to HIPAA standards. The role requires expertise in Databricks, PySpark, T-SQL on SQL Server, and proficiency in AI-assisted development tools like Claude Code or Codex. You will also mentor mid-level engineers and collaborate with product, clinical, analytics, and platform teams to deliver robust systems that improve patient outcomes at scale.

What you'll do

  • Lead the design and delivery of data and AI solutions across Lakehouse and SQL Server environments.
  • Own projects from problem framing through production deployment, including architecture and prototyping.
  • Develop natural language AI capabilities such as NLP/NLU, RAG, and document-level LLM extraction.
  • Apply AI engineering to diverse healthcare data like EHR/EMR, practice management, pharmacy, claims, and clinical notes.
  • Drive 0-to-1 initiatives from concept to production, defining problems and delivering measurable value.
  • Mentor mid-level engineers and foster their growth within the team.

What we're looking for

  • 4+ years of experience in Data Engineering or related field with a track record of successful project delivery.
  • Proven expertise in Databricks, Snowflake, PySpark, Spark SQL, and Delta Lake.
  • Strong proficiency in T-SQL on Microsoft SQL Server for complex database operations.
  • Experience deploying NLP/NLU systems and modern AI/LLM-based solutions from research to production.
  • Knowledge of healthcare data standards and compliance with HIPAA regulations.
  • Demonstrated ability to lead technical initiatives and mentor mid-level engineers.
  • Expertise in performance tuning, data modeling, and ETL design patterns for large-scale data platforms.

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