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 self-motivated Data Engineer to support its Data Lake Engineering team by building scalable data infrastructure for reliable, high-quality data access.
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
Requirements
- 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 such as 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
- SQL, Python, PySpark, Spark notebooks
- Azure, AWS, GCP
- Azure Data Lake, Azure Data Factory, Microsoft Fabric, Snowflake
- ETL, ELT, data modeling, metadata
- workload management, dependency management
- Azure DevOps, CI/CD
- dbt, Snowpipe, SnowSQL, Snowsight
- Data Streams, Kafka, Event Hub
- Tableau
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
Skills that will help you succeed
- Analytical, troubleshooting, and problem-solving skills
- Ability to design reliable, scalable, and maintainable data solutions
- Comfort working independently while staying aligned to team priorities
- Communication skills for collaboration with technical and business partners
- Ability to prioritize, 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
Additional Job Details
- Monday–Friday Eastern business hours required
- Hybrid onsite flexible work model required: 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 range: USD 75,275 - 109,553 per year
Experience level: 2+ years
Education: Bachelor’s in Computer Science or related field (or equivalent experience)
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