Senior EHR Database Engineer - Azure, Delta Lake & PySpark

Cone Health Medical Group; Greensboro (NC); On-site; USD 120,000 - 160,000; Full time

Job summary

Cone Health Medical Group is seeking a Senior Database Engineer to lead the design, analysis, and improvements of EHR data applications across the organization. You will ensure modules are coded, tested, and deployed so clinicians access reliable software.

The role focuses on performance, security, and scalable data pipelines using Azure, Azure Data Factory, Databricks, Delta Lake, Spark SQL, and Python/PySpark.

Qualifications

• 6+ years of experience in database engineering or related field.
• Healthcare data experience is a plus, especially with EHR systems.
• Platform-centric certification required within 6 months; extensions up to 12 months may be allowed to meet requirements.

Responsibilities

• Monitors database performance, scalability, and security to ensure proper operation.
• Examines existing database designs and determines updates and integration needs for new designs.
• Reviews architecture plans to refine performance and functionality within the warehouse structure.
• Designs database applications such as interfaces, data transfer mechanisms, and data partitions to support access to the generic database structure.
• Mentors lower-level data engineers to build a capable data engineering team.
• Defines objectives and approaches to assignments; recommends changes to leadership to drive innovation and efficiency.
• Reviews policies and workflows to ensure compliance and improve practices; performs other duties as assigned.

Skills

DevOps

Agile Methodology

Education

Bachelor's Degree

Tools

Azure

Azure Data Factory

Databricks

Delta Lake

Cloud Computing

Spark SQL

Python/PySpark

Unity Catalog

Job description

Cone Health Medical Group is seeking a Senior Database Engineer to lead the design, analysis, and improvements of EHR data applications across the organization. You will ensure modules are coded, tested, and deployed so clinicians access reliable software.

The role focuses on performance, security, and scalable data pipelines using Azure, Azure Data Factory, Databricks, Delta Lake, Spark SQL, and Python/PySpark.