Principal Data Engineer
Core
Building and leading the data engineering foundation for real-time decisioning, operational applications, analytics, and ML/AI model development.
Role type
Principal Data Engineer (hands-on IC with leadership)
Builds
Production-grade data pipelines, data platforms, real-time streaming systems, IoT telemetry services, and data APIs/microservices.
Domain
Healthtech / Digital Health / IoT / Cloud Data Platforms
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Real-time streaming architecture, IoT telemetry handling, Databricks, Spark/PySpark, SQL, Azure services, Data quality frameworks, CI/CD, Python, System design, Team management, Stakeholder shaping
Preferred skills
Commercial software/SaaS background, Healthtech/Fintech/IoT experience, Product-driven mindset, GenAI enablement
Technologies
Databricks, Spark, SQL, Python, PySpark, Delta Lake, Azure Event Hubs, Azure Stream Analytics, CI/CD tools
Responsibilities
Design and operate batch and streaming data pipelines on Azure/Databricks; Develop ETL/ELT workflows for diverse data types; Build reliable data products and APIs; Lead real-time streaming ingestion for medical device telemetry; Optimize Databricks pipelines and establish platform standards; Manage and mentor data engineers; Partner with cross-functional teams to define data requirements and success metrics.
Seniority
Principal, hands-on IC with strategic leadership
