Senior Analytics Engineer
Core
Design, build, and maintain scalable data models and pipelines to power reliable insights, experimentation, and performance tracking for a global healthcare AI platform.
Role type
Senior Analytics Engineer
Builds
Scalable data models, data pipelines, customer-facing data products (APIs, data shares), and self-serve analytics dashboards.
Domain
Healthcare / Data Engineering & Analytics
Deliverable
production ML models
Required skills
SQL, Python, PySpark, data modeling, data quality, testing, documentation, governance, reverse ETL, data pipeline management
Preferred skills
LLM evaluations, data enrichment, AI/ML collaboration, modern data platforms (dbt, Databricks, Airflow, Snowplow), BI tools (Omni)
Technologies
AWS, Azure, dbt, Databricks, Airflow, Snowplow, Omni, Braze, HubSpot
Responsibilities
Partner with analysts and engineers to design scalable data models; develop and manage data pipelines across regional workspaces; design product event tracking; contribute to customer-facing data products; improve data access for self-serve insights; champion data quality and governance.
Seniority
Senior, hands-on IC
