Senior Data Engineer

IVX Health is a national provider of infusion and injection therapy for individuals managing chronic conditions like Rheumatoid Arthritis, Crohn's Disease, and Multiple Sclerosis. We’re transforming the way care is delivered with a focus on patient comfort and convenience. Our commitment to exceptional care extends to our employees as well—we empower our team to thrive while living our core values: Be Kind, Do What’s Right, Never Settle, Make It Happen, and Enjoy the Ride.

• →Lead New Data Initiatives – Partner with our operations, sales, clinical, billing/finance and IT teams on data source development, standardization, and automated data pipelines to share relevant insights outside the organization.
• →Lead Databricks Functionality & Administration – Lead initiatives on Databricks ETL/ELT development/administration/optimization, change data capture (CDC) with our Azure SQL data warehouse, Unity Catalog build-out/administration, AI-readiness & expansion of overall capabilities with the platform long-term.
• →Support Data Integration & Data Model Design– Organize and standardize datasets from key systems/partnerships around the organization while supporting integrations with new systems/partnerships into the enterprise data warehouse.
• →Design Scalable Infrastructure – Create reusable data models that support operational, clinical, and financial reporting across the enterprise.
• →Lead Data Governance/Unity Catalog Process – Contribute to the development of data standards, privacy policies, and long-term maintainability across platforms.
• →Communicate Effectively – Translate complex technical concepts into accessible insights for non-technical stakeholders.

• Education and Experience – Bachelor’s degree in Data Engineering/Analytics, Information Systems, Computer Science, or related field; 5+ years of experience in data engineering, or similar roles.
• Technical Expertise – Databricks, PySpark, Spark SQL experience is a must along with strong background in Azure data services, MS SQL/Azure Data Factory, modern data warehouse architecture, and enterprise data modeling.
• Healthcare Knowledge – Experience working with healthcare data strongly preferred, especially EMR and practice management systems.
• Problem Solving and Execution – Ability to quickly assess and integrate new data sources, resolve discrepancies, and design high-performance systems.
• Collaboration and Communication – Proven track record working across technical and business teams to align on data-driven strategy.