Data Engineer

Location: Somerville-MA

Site: Mass General Brigham Incorporated

Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.

Job Summary

Responsible for implementing methods to improve data reliability and quality. They combine raw information from different sources to create consistent and machine-readable formats, and they develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling. The Data Engineer also supports the development of scalable data solutions using modern cloud data platforms, including Microsoft Fabric, following established enterprise data engineering standards and patterns.

Essential Functions

• -Design, develop, and implement data pipelines and ETL/ELT code to support business requirements.
• -Develop and maintain data engineering solutions using Microsoft Fabric and other enterprise data platforms.
• -Support data ingestion, transformation, and integration across a variety of data sources.
• -Develop solutions using established platform architecture, security, data quality, and governance standards.

Education

Bachelor's Degree Computer Science or related field of study required

Equivalent experience may be considered in lieu of a degree

Experience

• 2+ years of data warehousing development in large reporting environment(s) required
• 2+ years of experience with developing data pipelines using on Snowflake features required
• Experience or familiarity with modern cloud data platforms such as Microsoft Fabric, Snowflake, or Azure data services preferred.
• Knowledge, Skills and Abilities
• Working knowledge of cloud computing platforms such as AWS, GCP, or Azure.
• Familiarity with enterprise data warehousing systems is a plus.
• Familiarity with Microsoft Fabric concepts and capabilities, including data pipelines, Lakehouses, Warehouses, and notebooks.
• Understanding of common data ingestion, transformation, and data integration patterns.
• Skilled in data analysis with Python and SQL.
• Demonstrated experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop).
• Familiarity with Power BI and its integration with modern data platforms is a plus.
• Basic understanding of data quality, security, and data governance concepts.
• Solid analytical and organizational skills.
• Experience working in an Agile software development environment.