Principal Data Engineer
Core
Design and build scalable data platform infrastructure to support analytics, machine learning, and AI workloads, including LLM-powered tools and semantic layers.
Role type
Principal Data Engineer (AI/ML Infrastructure)
Builds
Robust data pipelines, semantic layers, data agents, and evaluation frameworks for AI systems.
Domain
Healthcare technology, Data Engineering, Artificial Intelligence
Deliverable
production ML models
Required skills
Cloud Data Warehouses (Snowflake, BigQuery, Redshift), Workflow Orchestrators (Airflow, Luigi, Dagster, Prefect), Data Warehousing and Modelling, Python, Go, Semantic/Metrics Layers (dbt, Cube, LookML)
Preferred skills
Coding agents (Claude Code, Codex, Cursor), LLM application development, LLM evaluation design
Technologies
Snowflake, Apache Airflow, dbt, Kubernetes, Terraform, Go, Python
Responsibilities
Design and maintain scalable data platform for analytics and AI; Build and evolve Semantic Layer and Data Agent infrastructure; Establish evaluation and observability practices for AI systems; Collaborate on tooling for data and AI product deployment; Ensure data availability, quality, and reliability; Propose and lead new platform solutions; Develop best practices for data modelling and testing.
Seniority
Principal, hands-on IC
