Design, build, and maintain scalable data pipelines using Microsoft Fabric and Apache Airflow
Ingest, transform, and integrate data from a variety of sources, including relational systems, APIs, and MongoDB
Implement and manage data solutions aligned to Medallion architecture principles (Bronze, Silver, Gold)
Design and maintain analytical data models, including fact and dimension tables, to support reporting and analytics
Optimize data storage, performance, and reliability across lakehouse and warehouse environments
Ensure data quality, observability, and lineage through validation, monitoring, and documentation
Collaborate with data analysts and BI developers to enable performant, well-modeled datasets for Power BI
Partner with clinical, operational, and technical stakeholders to understand data requirements and constraints
Support data governance, security, and compliance efforts, including HIPAA-related controls
Mentor junior data engineers and contribute to engineering standards and best practices

5+ years of experience as a Data Engineer, Senior Data Engineer, or similar role
Strong experience with Microsoft Fabric (e.g., Lakehouse, Data Warehouse, pipelines, notebooks)
Hands-on experience with Apache Airflow for workflow orchestration and scheduling
Experience working with MongoDB and integrating NoSQL data sources into analytical platforms
Strong SQL skills and experience building performant analytical queries and transformations
Deep understanding of data modeling concepts, including fact and dimension tables
Practical experience implementing Medallion architecture in a data lake or lakehouse environment
Experience working with healthcare data (e.g., EHR/EMR, claims, clinical, revenue cycle, or operational data)
Strong understanding of data engineering best practices around scalability, reliability, and maintainability

Senior Data Engineer

Key skills