Data Engineer

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.

Mass General Brigham Digital is transforming health care through data, analytics, and digital innovation. We are investing in enterprise data platforms, advanced analytics, artificial intelligence, and machine learning to improve patient care, support research, and make insights easier to use across the system. We are seeking a self-motivated Data Engineer to join our Data Lake Engineering team. In this role, you will design, build, and maintain scalable data pipelines and cloud-based data platforms that help teams across Mass General Brigham access reliable, high-quality data.

This is a great opportunity for someone who enjoys solving complex data challenges, optimizing data systems, and partnering with cross-functional teams to support meaningful work in health care.

• Bachelor's degree in Computer Science, a related field, or equivalent experience.
• 2-5 years of experience in data engineering, data warehousing, data pipeline development, or a related technical role.
• Hands-on experience with SQL and at least one programming or scripting language such as Python, PySpark, or Spark notebooks.
• Experience developing data pipelines, ETL/ELT processes, and data transformation workflows.
• Working knowledge of cloud data platforms such as Azure, AWS, or GCP;
  Azure Data Lake, Azure Data Factory, Microsoft Fabric, or Snowflake experience is strongly preferred.
• Experience working with relational databases, data warehouses, or large-scale reporting environments.
• Familiarity with data modeling, metadata, data quality, workload management, and dependency management concepts.
• Ability to collaborate with cross-functional teams and communicate technical information clearly to technical and non-technical partners.

• Experience with Microsoft Fabric, Fabric Spark notebooks, Azure Dev Ops, CI/CD, or dbt.
• Experience with Snowflake features such as Snowpipe, SnowSQL, Snowsight, or Data Streams.
• Experience with real-time analytics technologies such as Spark, Kafka, or Event Hub.
• Healthcare data experience, including clinical data, Epic, Clarity, payer data, or reference data.
• Experience with business intelligence tools such as Tableau or similar platforms.

• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to design reliable, scalable, and maintainable data solutions.
• Comfort working independently while staying connected to team priorities.
• Strong communication skills and the ability to collaborate with partners across technical and business teams.
• Ability to prioritize work, manage multiple initiatives, and adapt in a dynamic environment.
• Interest in continuous learning and applying new data technologies, tools, and best practices.
• Commitment to teamwork, respect, inclusion, and high-quality service.

• Monday-Friday Eastern business hours required.
• Hybrid onsite flexible work model required, including 1-2 onsite office days per week, with flexibility based on business needs.
• Remote workdays require a stable, secure, quiet, and compliant workstation.

Remote Type Hybrid Work Location 399 Revolution Drive Scheduled Weekly Hours 40 Employee Type Regular Work Shift Day (United States of America)

Pay Range $75,275.20 -…