Data Engineer

Mass General Brigham Incorporated; Somerville (MA); Hybrid; USD 75,000 - 110,000; Full time

Job summary

Mass General Brigham Digital is seeking a Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data platforms, enabling internal teams to access reliable data.

Location: Somerville, MA (hybrid). Hybrid onsite 1–2 days weekly with flexible schedule. Compensation ranges from USD 75,275 to USD 109,553 per year.

Qualifications

• 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, PySpark, 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

Responsibilities

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

Skills

SQL

Python

PySpark

Spark notebooks

Data pipelines

ETL/ELT

Data modeling

Metadata

Data quality

Workload management

Dependency management

Cross-functional collaboration

Education

Bachelor’s degree in Computer Science or related field

Tools

Azure

AWS

GCP

Azure Data Lake

Azure Data Factory

Microsoft Fabric

Snowflake

dbt

Snowpipe

SnowSQL

Snowsight

Tableau

Job description

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.

What you’ll do

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

What you’ll bring

• 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, PySpark, 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

Technologies you may work with

• 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 DevOps, CI/CD
• dbt, Snowpipe, SnowSQL, Snowsight
• Data Streams, Kafka, Event Hub
• Tableau

Additional preferences

• 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

How the role is structured

• 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.