Data Engineer

Mass General Brigham; Revolution (NC); Hybrid; USD 75,000 - 110,000; Full time

Benefits offered by this job

Comprehensive benefits

Job summary

Mass General Brigham is seeking a Data Engineer to implement methods for improving data reliability and quality. You will merge data from multiple sources into consistent, machine-readable formats and build architectures that enable data extraction and transformation for predictive or prescriptive modeling.

The role supports scalable data solutions using modern cloud platforms, including Microsoft Fabric, with adherence to enterprise data standards and governance.

Qualifications

• Bachelor's degree in CS or a related field; equivalent experience may be considered.
• 2+ years data warehousing development in large reporting environments.
• 2+ years developing data pipelines using Snowflake features; familiarity with modern cloud data platforms such as Microsoft Fabric, Snowflake, or Azure data services.

Responsibilities

• Design, develop, and implement data pipelines and ETL/ELT code to support business requirements.
• Develop and maintain data engineering solutions using Microsoft Fabric and other enterprise data platforms.
• Support data ingestion, transformation, and integration across a variety of data sources.
• Develop solutions using established platform architecture, security, data quality, and governance standards.

Skills

Python

SQL

Data analysis

Tableau

Power BI

Hadoop

Agile

Education

Bachelor's Degree in Computer Science or related field

Tools

Snowflake

Microsoft Fabric

Azure Data Services

Job description

Site: Mass General Brigham Incorporated

Job Summary

Responsible for implementing methods to improve data reliability and quality. They combine raw information from different sources to create consistent and machine-readable formats, and they develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling. The Data Engineer also supports the development of scalable data solutions using modern cloud data platforms, including Microsoft Fabric, following established enterprise data engineering standards and patterns.

Essential Functions

• Design, develop, and implement data pipelines and ETL/ELT code to support business requirements.
• Develop and maintain data engineering solutions using Microsoft Fabric and other enterprise data platforms.
• Support data ingestion, transformation, and integration across a variety of data sources.
• Develop solutions using established platform architecture, security, data quality, and governance standards.

Education

• Bachelor's Degree Computer Science or related field of study required
• Equivalent experience may be considered in lieu of a degree

Experience

• 2+ years of data warehousing development in large reporting environment(s) required
• 2+ years of experience with developing data pipelines using on Snowflake features required
• Experience or familiarity with modern cloud data platforms such as Microsoft Fabric, Snowflake, or Azure data services preferred.

Knowledge, Skills and Abilities

• Working knowledge of cloud computing platforms such as AWS, GCP, or Azure.
• Familiarity with enterprise data warehousing systems is a plus.
• Familiarity with Microsoft Fabric concepts and capabilities, including data pipelines, Lakehouses, Warehouses, and notebooks.
• Understanding of common data ingestion, transformation, and data integration patterns.
• Skilled in data analysis with Python and SQL.
• Demonstrated experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop).
• Familiarity with Power BI and its integration with modern data platforms is a plus.
• Basic understanding of data quality, security, and data governance concepts.
• Solid analytical and organizational skills.
• Experience working in an Agile software development environment.

Working Conditions

• Hybrid, onsite required 4x/month at minimum
• Remote workdays require a stable, secure, and compliant workstation in a quiet environment.
• Monday through Friday Eastern Business hours required.
• Teams video is required and must be accessed using Mass General Brigham-provided equipment.

Additional Job Details (if applicable)

Remote Type

Hybrid

Work Location

399 Revolution Drive

Scheduled Weekly Hours

40

Employee Type

Regular

Work Shift

Day (United States of America)

Pay Range

$75,275.20 - $109,553.60/Annual

Grade

6At Mass General Brigham

In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth.

EEO Statement:

Mass General Brigham is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.

Mass General Brigham Competency Framework

At Mass General Brigham, our competency framework defines what effective leadership looks like by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.