Lead Analytics Engineer

7+ years of experience in analytics engineering, data engineering, or similar roles Experience with EMR, claims, or healthcare-related data Hands-on experience using AWS cloud services Deep proficiency in Spark, SQL and dbt Strong understanding of data modeling principles (e.g., dimensional modeling, star/snowflake schemas) Strong understanding of data lakehouse architectures (e.g., S3, Glue, EMR, Iceberg/Parquet formats) Hands-on experience with version control, CI/CD, and data testing frameworks Ability to translate ambiguous business questions into scalable data solutions Strong communication skills and a collaborative mindset Bachelor's or Master’s degree in a STEM, analytics, or related discipline

Develop and maintain analytics-ready datasets aligned with healthcare standards Translate complex healthcare data concepts into curated data models Lead the development and adoption of semantic layers and standardized KPIs Partner to translate business logic into governed, analysis-ready datasets Promote data lineage, observability, and validation frameworks Define and enforce data-contracts, schema standards, and modelling conventions Collaborate with Architects and Senior Engineers on architecture and performance Drive team-wide improvements in tooling, automation, and workflow efficiency Mentor and support other Analytics Engineers Participate in on-call rotations