Azure Cloud Data Engineer

Onvida Health is a healthcare organization focused on improving the health and well-being of its community. The Azure Cloud Data Engineer develops and supports Azure-based data platforms, pipelines, integrations, warehouses, and analytics solutions that enable health system operations, value-based care, population health, reporting, and machine learning.

Responsibilities:

• Work closely with business and clinical stakeholders to understand data requirements and translate them into scalable, Azure-based technical solutions that enable operational efficiency, value-based care, and population health insights
• Build modern ETL/ELT pipelines, data streams, and integrations using Azure Data Factory, Databricks, SQL, and related tools to move, transform, and prepare data for analytics and reporting
• Develop and maintain data warehouse schemas, relational and non-relational databases, and enterprise data platform solutions to support advanced analytics, reporting, and machine learning initiatives
• Conduct data profiling, cataloging, mapping, and quality checks to ensure accuracy, consistency, and compliance with healthcare standards (HIPAA, FHIR), and implement monitoring and metrics for ongoing data integrity
• Expose data to end users through PowerBI or similar tools, supporting predictive analytics, operational reporting, and actionable insights for clinical and administrative decision-making
• Plan, implement, and optimize cloud-based data solutions, leveraging Azure technologies (Event Grid/Hub, Storage/Data Lake, Synapse Analytics) for performance, scalability, and efficiency
• Partner with IT, clinicians, and other teams to design integrated solutions, troubleshoot issues, and provide technical guidance for data management, integration, and usage across healthcare applications
• Evaluate current processes, research emerging Azure technologies, and implement innovative solutions to optimize data infrastructure, analytics, and platform performance while supporting strategic organizational goals

Requirements:

• Bachelor's degree in Computer Science, Management Information Systems (MIS), or a related field
• Minimum of 5 years implementing data pipelines and cloud data transformation processes using Azure technologies