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Data/AI Engineer
Skills
Computer ScienceDevopsApache SparkContextData AnalyticsEvolutionHealthcare
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 4+ years in Data Engineering Software Engineering or Analytics with 0-to-1 production experience
- 3+ years hands-on with Databricks and/or Snowflake plus a major cloud platform and PySpark Spark SQL Delta Lake fundamentals
- Experience with T-SQL on Microsoft SQL Server or PL/SQL/Oracle including stored procedures views and functions
- Proven healthcare AI/ML/NLP production experience deploying NLP NLU RAG and document-level extraction systems
- Experience with healthcare data such as EHR EMR PM pharmacy claims and clinical notes while following HIPAA PHI and multi-tenant standards
- Strong technical leadership skills with ability to scope lead mentor and collaborate across teams
- Expertise in Spark and SQL Server performance tuning partitioning indexing and query optimization
- Solid understanding of dimensional and normalized data modeling plus incremental ETL ELT and medallion architecture
- Strong SDLC Git CI/CD automated testing data quality observability and code review discipline
- Hands-on experience with Claude Code Codex or similar AI-assisted development tools
- Excellent written and verbal communication skills
Nice to have
- Intellectual curiosity
- Bias for investigation
- Cross-functional mindset
- Production orientation
- Mentoring mindset
Day to day
- Lead the design and delivery of data and AI solutions across Lakehouse and SQL Server environments, owning work from scoping through production deployment.
- Build modern healthcare data platforms using medallion architecture, Delta Lake, T-SQL ETL, and advanced AI capabilities for diverse clinical and operational data.
- Prototype novel NLP, RAG, LLM extraction, and agentic solutions, then partner with cross-functional teams to translate ambiguous needs into robust production systems.