Data Specialist
Core
Design, develop, and maintain scalable enterprise healthcare data pipelines, ETL/ELT processes, and data models using Databricks, Spark, and SQL to support analytics and operational needs.
Role type
Senior hands-on data engineering specialist
Builds
Enterprise-scale data pipelines, data lakes, and analytics platforms for healthcare
Domain
Healthcare data engineering and cloud data platforms
Deliverable
production ML models
Required skills
Databricks, Apache Spark, SQL, Python, ETL/ELT, workflow orchestration (Airflow), CI/CD, data modeling, data governance, cloud data engineering
Preferred skills
Azure, HL7, FHIR, data quality frameworks, data observability, predictive analytics, AI-enabled healthcare solutions
Technologies
Databricks, Delta Lake, Apache Spark, SQL, Python, Airflow, GitHub, Azure, Power BI, Tableau
Responsibilities
Design and maintain scalable data pipelines; build and optimize ETL/ELT processes; create efficient data models; collaborate with stakeholders to translate business needs into data solutions; maintain data quality and governance; establish data validation and monitoring; design workflow orchestration; develop CI/CD pipelines; use AI-assisted development tools; participate in Agile activities; diagnose complex data issues.
Seniority
Senior, hands-on IC