Data Engineer

Mass General Brigham Digital is hiring a self-motivated Data Engineer to support its Data Lake Engineering team. The role focuses on designing, building, and maintaining scalable data pipelines and cloud-based data platforms so internal teams can access reliable, high-quality data. This position also involves solving complex data challenges, optimizing data systems, and partnering with cross-functional stakeholders.

• Design, build, and maintain scalable data pipelines and cloud-based data platforms
• Support teams across Mass General Brigham in accessing reliable, high-quality data

• Bachelor’s degree in Computer Science or 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
  , Py Spark , or Spark notebooks
• Experience developing data pipelines
  , ETL/ELT processes, and data transformation workflows
• Working knowledge of cloud data platforms including Azure, AWS, or GCP
  ; Azure Data Lake
  , Azure Data Factory
  , Microsoft Fabric
  , or Snowflake experience is strongly preferred
• Experience 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

• SQL, Python, PySpark, Spark notebooks
• Azure, AWS, GCP;
  Azure Data Lake, Azure Data Factory, Microsoft Fabric, Snowflake
• ETL, ELT, relational databases, data warehouses, data modeling, metadata
• Workload and dependency management concepts (as part of data operations)
• Microsoft Fabric Spark notebooks, Azure Dev Ops, CI/CD
• dbt, Snowpipe, SnowSQL, Snowsight
• Data Streams, Kafka, Event Hub
• Tableau

• 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

• Location: Somerville, MA (hybrid)
• Work schedule: Monday–Friday Eastern business hours required
• Hybrid onsite expectations: 1–2 onsite office days per week, with flexibility based on business needs
• Remote workdays: require a stable, secure, quiet, and compliant workstation

Compensation: USD 75,275 to 109,553 per year.