Analytics Engineer III
Core
Design, build, and operate enterprise-grade data engineering and ML engineering systems powering analytics, data science, and AI/ML at scale for a biopharma company.
Role type
Senior individual contributor Analytics Engineer (Data & ML Engineering)
Builds
Production data products, ML pipelines, MLOps platform components, and platform infrastructure
Domain
Biopharma / Life Sciences / Data Engineering & MLOps
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, PySpark, Databricks, Delta Lake, Unity Catalog, MLOps tooling, CI/CD, cloud infrastructure, data modeling
Preferred skills
Cloud migration experience, healthcare/clinical data familiarity, AI-augmented engineering tools, cross-geo collaboration
Technologies
Databricks, Delta Lake, Unity Catalog, MLflow, Dagster, Airflow, AWS, Azure, Kubernetes, Docker, FastAPI, Evidently, Great Expectations
Responsibilities
Design and operate end-to-end data products on Databricks; build and maintain MLOps platform components; architect observability across data and ML systems; lead cloud migration and modernization; conduct code and design reviews
Seniority
Senior, hands-on IC