Senior Data/AI Engineer

Cardinal Health is an integrated, multi-specialty organization that provides healthcare solutions. They are seeking a Senior Data/AI Engineer to lead the design and delivery of data and AI solutions, working on modern healthcare data platforms and AI engineering initiatives.

Responsibilities:

• Lead the design and delivery of data and AI solutions across Lakehouse and SQL Server environments
• Own projects end-to-end, from problem framing and scoping through architecture, prototyping, and production deployment
• Develop and implement modern healthcare data platforms and AI engineering solutions, including medallion architecture (bronze/silver/gold), Delta Lake, and T-SQL ETL
• Design and build natural language AI capabilities such as NLP/NLU, retrieval-augmented generation (RAG), document-level LLM extraction, and agentic frameworks
• Apply AI and data engineering solutions to diverse healthcare data, including EHR/EMR, practice management (PM), pharmacy, claims, and clinical notes
• Drive 0-to-1 initiatives from concept to production, defining problems, exploring solution spaces, and delivering measurable value
• Research and prototype novel approaches to complex problems, operating effectively in ambiguous environments
• Serve as a technical lead on cross-functional initiatives, establishing project-level technical direction
• Drive engineering and code quality standards within the team
• Mentor mid-level engineers, fostering their growth and development
• Partner with product, clinical, analytics, and platform teams to translate ambiguous requirements into robust, production-ready systems
• Operate fluently across Databricks and major cloud platforms (Azure, GCP)
• Leverage modern AI-assisted development tooling (e.g., Claude Code, Codex) to accelerate delivery

Requirements:

• 8+ years in Data Engineering, Software Engineering, or Analytics, with a proven track record of taking 0-to-1 initiatives from concept to production
• Bachelor's degree in Computer Science, Machine Learning, Analytics, Engineering, or a related field highly preferred; Master's degree a plus
• 3+ years of hands-on experience with Databricks and/or Snowflake, a major cloud platform (Azure, GCP, or AWS), PySpark, Spark SQL, and Delta Lake fundamentals (ACID, MERGE, OPTIMIZE/ZORDER, schema evolution)
• Experience with T-SQL on Microsoft SQL Server (or PLSQL/Oracle), including stored procedures, views, and functions, and navigating large codebases
• Proven experience (with healthcare data context) deploying NLP/NLU and modern AI/LLM-based systems (e.g., RAG, document-level extraction) from research through production, covering chunking, retrieval, prompting, evaluation, monitoring, and cost/performance tuning
• Experience working with diverse healthcare data (EHR/EMR, PM, pharmacy, claims, clinical notes) while adhering to HIPAA, PHI-handling, and multi-tenant data isolation standards
• Strong technical leadership skills, capable of scoping and leading initiatives, driving architectural decisions, mentoring, and collaborating across product, clinical, analytics, and platform teams
• Expertise in performance tuning for Spark/Databricks and SQL Server, including plan analysis, partitioning, indexing, and query optimization
• Strong grasp of SDLC, Git, CI/CD (Azure DevOps, GitHub Actions, or similar), automated testing, data quality, observability, and rigorous code/design reviews
• Hands-on experience using Claude Code, Codex, or similar AI-assisted development tools
• Excellent written and verbal communication skills, able to influence technical decisions and translate complex concepts across diverse stakeholders