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. 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. #J-18808-Ljbffr Mass General Brigham Incorporated