Data Engineer

Mass General Brigham is seeking a Data Engineer to support its Data Lake Engineering team. The role focuses on building scalable data pipelines and cloud-based data platforms that provide reliable, high-quality data for teams across the health care system.

Responsibilities

• 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

Preferred

• Azure Data Lake, Azure Data Factory, Microsoft Fabric, or Snowflake experience is strongly preferred
• Experience with Microsoft Fabric, Fabric Spark notebooks, Azure DevOps, 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
• Azure Data Lake
• Azure Data Factory
• Microsoft Fabric
• Snowflake
• Fabric Spark Notebooks
• Azure DevOps
• CI/CD
• dbt
• Snowpipe
• SnowSQL
• Snowsight
• Snowflake Data Streams
• Spark
• Kafka
• Event Hub
• Real-Time Analytics
• Healthcare Data
• Clinical Data
• Epic
• Payer Data
• Reference Data
• Business Intelligence
• Tableau

Benefits

• Hybrid onsite flexible work model, including 1–2 onsite office days per week, with flexibility based on business needs.
• Comprehensive benefits.
• Career advancement opportunities.
• Differentials and premiums, as applicable.
• Bonuses, as applicable.
• Recognition programs designed to celebrate your contributions and support your professional growth.

Company

• Integrated academic healthcare system and biomedical research organization
• Somerville, Massachusetts, USA
• https://www.massgeneralbrigham.org/
• Founded in 1994
• 10001+ employees

Qualifications

• 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
• 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
• 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
• Azure Data Lake, Azure Data Factory, Microsoft Fabric, or Snowflake experience is strongly preferred
• Experience with Microsoft Fabric, Fabric Spark notebooks, Azure DevOps, 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
• 2–5 years of experience in data engineering, data warehousing, data pipeline development, or a related technical role.

Required skills

• SQL, Python, PySpark, Data Pipeline Development, ETL/ELT, Azure, AWS, GCP, Azure Data Factory, Microsoft Fabric, Snowflake, Data Warehousing

Experience

• 2-5 years