Note: The job is a remote job and is open to candidates in USA. Cardinal Health is a multi-specialty organization focused on improving patient outcomes through integrated solutions in healthcare. They are seeking a Senior Data/AI Engineer to lead the design and delivery of data and AI solutions, driving projects from inception to production within modern healthcare data platforms.
Responsibilities
- Support 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
Skills
- 4+ 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
- 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
- Solid understanding of data modeling (dimensional/normalized) and modern ETL/ELT design patterns, including incremental loads and medallion Lakehouse architecture
- 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
- Master's degree a plus
Benefits
- Medical, dental and vision coverage
- Paid time off plan
- Health savings account (HSA)
- 401k savings plan
- Access to wages before pay day with myFlexPay
- Flexible spending accounts (FSAs)
- Short- and long-term disability coverage
- Work-Life resources
- Paid parental leave
- Healthy lifestyle programs
Company Overview