Staff Data Analytics Engineer

Responsibilities: Own and maintain the semantic layer and data models to serve as the single source of truth for humans and AI agents. Architect the data platform for AI-readiness while driving end-to-end data quality and enabling self-serve analytics.

Requirements: Requires 8+ years of analytics or data engineering experience with deep expertise in SQL, Python, and modern data stack tools. Candidates must demonstrate a bias toward action and the ability to build resilient, production-grade data systems.

Key skills: SQL, Python, Data Modeling, Databricks, GCP, dbt, Snowflake, BigQuery, Airflow, Looker, Tableau, Unity Catalog, Data Governance, Semantic Layer Design, Data Observability, ETL Pipelines

Keywords: Databricks, GCP, Unity Catalog, Delta Lake, Spark, dbt, Snowflake, BigQuery, Airflow, Looker, Tableau, Semantic Layer, Data Modeling, AI-Driven Analytics, LLM, HIPAA, PHI/PII, Data Contracts, Data Observability, Health Tech, SQL, Python, Data Engineering, Analytics Engineering, Production-Grade Systems, Self-Serve Analytics, Data Governance, Distributed Teams, Remote Work, Data Agents