Senior Data Engineer

Job Title: Senior Data Engineer Location: Remote Job Summary Senior Data Engineer to support the Radiology Data & Analytics team in designing and implementing a modern Radiology data warehouse and analytics environment using Microsoft Fabric. This role will work collaboratively with engineers, analysts, and cross-functional partners to build scalable data pipelines, develop robust data models, and support analytics, reporting, and AI initiatives across the Radiology domain. This position is 100% remote, with equipment provided. Strong candidates may be considered for a future full-time (potential contract-to-hire). Key Responsibilities • Design and implement ETL/ELT data pipelines following best practices in data management and governance. • Analyze and process complex institutional and Radiology data sources in a fast-paced environment. • Build and optimize data models, including dimensional/star schema design. • Develop automated, parameterized, and testable data pipelines (batch and/or streaming). • Apply data quality principles ensuring consistency, reliability, and high user experience. • Collaborate with cross-platform teams to support enterprise-wide data operations. • Create and maintain detailed functional and technical documentation. • Explore and evaluate new technologies, tools, and feature updates to improve data engineering practices. • Mentor junior data engineers and support internal upskilling in Microsoft Fabric. • Recommend and implement process improvements and automation opportunities. Required Skills & Experience • 5+ years of hands-on SQL programming experience. • 3+ years building and maintaining automated data pipelines (ETL/ELT, batch or streaming). • Strong experience with Microsoft Fabric, including: • Data Warehouse • OneLake • Data Pipelines • Power BI integration • Real-Time Analytics • Expertise in advanced SQL/T-SQL, performance tuning, and indexing. • Proficiency in Python or similar scripting languages for automation and integration. • Experience designing scalable cloud data architectures aligned with security standards. • Knowledge of metadata management, lineage, and data governance. • Understanding of CI/CD, infrastructure-as-code, Git, Azure DevOps, Terraform. • Experience working with clinical, imaging, or research datasets in a healthcare environment. • Knowledge of HIPAA, PHI security, and healthcare data compliance. • Strong communication skills across both technical and non-technical audiences. • Demonstrated success working with IT, clinical teams, analysts, and data scientists. Education • Bachelor’s degree in Computer Science, Information Technology, or related field • OR • Equivalent experience (5+ years).