Data Engineer
Aws Data Engineer
Azure
Azure Data Engineer
Azure Data Factory
Azure Data Platform
Azure Platform
Big Data
Bigdata
Cloud
Cloud Data Engineering
Cloud Data Platform
Cloud Data Warehouse
Cloud Data Warehouse
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Build Tool
Data Engineer
Data Engineering
Data Factory
Data Factory Azure
Data Integration
Data Lake
Data Management
Data Modeling
Data Operations
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Transforms
Data Warehouse
Data Warehousing
Database
Databases
Dbt
Engineering
ETL
Event Driven Architecture
Event Hub
Informatica
Information Technology (IT)
Microsoft Azure
Microsoft Fabric
Programming
Programming Language
Programming Languages
Pyspark
Software Development
Spark
SQL
Streaming Data
Job Description
Mass General Brigham Digital is seeking a Data Engineer to support the Data Lake Engineering team with scalable data pipelines and cloud-based data platforms. This role focuses on turning complex data needs into reliable systems, so internal teams can consistently access high-quality data. You will also collaborate with cross-functional partners to solve data challenges and improve how data is delivered across the organization.
What you’ll do
- Design, build, and maintain scalable data pipelines and cloud-based data platforms
- Help teams across Mass General Brigham access reliable, high-quality data
What you’ll need
- 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 language or tooling 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 management, dependency management
- Azure DevOps, CI/CD, dbt
- Snowpipe, SnowSQL, Snowsight, Data Streams
- Data Streams, Kafka, Event Hub
- Tableau, plus related reporting and analytics tooling
Preferred experience
- 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
Additional job details
- 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
Location: Somerville, MA (hybrid)
Salary: USD 75,275 - 109,553 per year
Experience level: 2 years minimum
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