Sr. Data Engineer
Core
Design, build, and maintain scalable data systems and end-to-end AI/ML workflows to support behavioral health care delivery and platform architecture.
Role type
Senior IC Data Engineer (ML enablement)
Builds
Scalable data pipelines, medallion architecture, and production AI/ML workflows integrating with EHR modules and micro-services.
Domain
Behavioral health / Healthcare technology / Cloud data engineering
Deliverable
production ML models | infrastructure
Required skills
SQL, Python, data modeling, medallion architecture, CI/CD, pipeline automation, observability, cloud data platforms (AWS/GCP), big data frameworks
Preferred skills
End-to-end AI/ML workflow experience, modern compute/ML frameworks (Spark, TensorFlow, PyTorch, scikit-learn), production API development, MCP servers
Technologies
AWS, GCP, dbt, Airflow, Airbyte, Redshift, BigQuery, Spark, TensorFlow, PyTorch, scikit-learn
Responsibilities
Design scalable data ingestion, transformation, and storage systems; implement automation frameworks to increase development velocity; develop end-to-end AI/ML workflows from ingestion to production; support model operations including accuracy, drift, and bias monitoring; mentor peer engineers; leverage AI tools for daily work efficiency.
Seniority
Senior, hands-on IC