Senior Data Engineer (Healthcare)

Are you an experienced Senior Data Engineer (Healthcare) with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Senior Data Engineer (Healthcare) to work at their company remotely.Position Summary: We are looking for an individual to join the Radiology Data and Analytics team in designing and implementing a Radiology data warehouse and analytics environment using Microsoft Fabric. Working collaboratively with internal engineers and analysts, the individual will contribute expertise in data architecture, pipeline development, and modelling to integrate institutional and Radiology data sources that support analytics, reporting, and AI initiatives.

Qualifications:

• Microsoft Fabric proficiency — hands-on experience with Data Warehouse, Data Pipelines (ETL/ELT), OneLake, Real-Time Analytics, and Power BI integration.
• Data modelling — strong understanding of dimensional/star schema and semantic model design to support reporting and analytics use cases.
• ETL/ELT pipeline development — experience orchestrating robust, parameterized, and testable data pipelines for ingestion, transformation, and curation using Fabric Data Pipelines or equivalent tools.
• Advanced SQL/T-SQL — expertise in query optimization, performance tuning, indexing, and complex data transformations.
• Programming/Scripting — proficiency in Python (or similar scripting language) for data wrangling, automation, and integration tasks.
• Proven ability to design scalable cloud data architectures aligned with institutional standards and security frameworks.
• Experience with metadata, lineage, and governance.
• Understanding of infrastructure-as-code and CI/CD principles for data deployment and version control (e.g., Git, Azure DevOps, Terraform).
• Experience working with clinical, imaging, or research data in a healthcare setting.
• Awareness of data privacy, security, and compliance requirements in healthcare (HIPAA, PHI handling, de-identification).
• Demonstrated success working as part of cross-functional teams, including IT, data science, and clinical stakeholders.
• Strong communication skills with both technical and non-technical audiences.
• Commitment to mentoring and knowledge sharing, helping build Radiology's internal capabilities in Microsoft Fabric and data engineering.
• Data engineering certifications or cloud certifications helpful, but not required.