Data Engineer

Mass General Brigham•Somerville, MA

9d•$75,275 - $109,554•Hybrid

About The Position

The Data Engineer implements methods to improve data reliability and quality by combining raw information from different sources into consistent, machine-readable formats. The role develops and tests architectures that enable data extraction and transformation for predictive or prescriptive modeling, and supports scalable data solutions using modern cloud data platforms, including Microsoft Fabric, in accordance with established enterprise data engineering standards and patterns. This position is hybrid, with onsite work required at least four times per month. Remote work requires a stable, secure, and compliant workstation in a quiet environment. The schedule is Monday through Friday during Eastern business hours, with 40 scheduled weekly hours. Teams video must be accessed using Mass General Brigham-provided equipment.

Requirements

Bachelor's degree in Computer Science or a related field; equivalent experience may be considered in lieu of a degree.
At least 2 years of data warehousing development in large reporting environments.
At least 2 years of experience developing data pipelines using Snowflake features.
Working knowledge of cloud computing platforms such as AWS, GCP, or Azure.
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 such as Tableau and data frameworks such as Hadoop.
Basic understanding of data quality, security, and data governance concepts.
Solid analytical and organizational skills.
Experience working in an Agile software development environment.

Nice To Haves

Experience or familiarity with modern cloud data platforms such as Microsoft Fabric, Snowflake, or Azure data services.
Familiarity with enterprise data warehousing systems.
Familiarity with Power BI and its integration with modern data platforms.

Responsibilities

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.