Data Engineer
Mass General Brigham · Somerville-MA
What the posting says
Each fact was read from this posting and checked:Statedin the posting, quotedConflictsposted two ways, both shownNot mentionedwe looked; it is not there
- PayStated
- $75,275–$109,554 a year
- Employment typeStated
- Full time
- Work arrangementStated
- Hybrid
- ShiftStated
- day
Work Shift Day (United States of America)
from the posting - ExperienceStated
- 2-5 years
- EducationStated
- ['bachelor degree']
Not mentioned in this posting
We read the whole posting. These are not in it. Not a no: ask the recruiter, in your own words.
- Visa sponsorshipNot mentioned
- The posting does not say
Requirements, each with its sentence from the posting
These are the employer’s words. The index does not judge whether you meet them.
- Bachelor's Degree Computer Science or related fieldrequired
Bachelor's Degree Computer Science or related field of study required
from the posting - Data warehousing developmentrequired
2+ years of data warehousing development in large reporting environment(s) required
from the posting - Snowflake data pipelinesrequired
2+ years of experience with developing data pipelines using on Snowflake features required
from the posting - Microsoft Fabricpreferred
Familiarity with Microsoft Fabric concepts and capabilities, including data pipelines, Lakehouses, Warehouses, and notebooks
from the posting - Power BIpreferred
Familiarity with Power BI and its integration with modern data platforms is a plus
from the posting - Cloud computing platforms (AWS, GCP, Azure)implied
Working knowledge of cloud computing platforms such as AWS, GCP, or Azure
from the posting - SQLimplied
Skilled in data analysis with Python and SQL
from the posting - Pythonimplied
Skilled in data analysis with Python and SQL
from the posting - Tableauimplied
Demonstrated experience using business intelligence tools (e.g., Tableau)
from the posting - Data governanceimplied
Basic understanding of data quality, security, and data governance concepts
from the posting - Agile software developmentimplied
Experience working in an Agile software development environment
from the posting - ETL/ELT developmentimplied
Design, develop, and implement data pipelines and ETL/ELT code to support business requirements
from the posting - Data integration patternsimplied
Understanding of common data ingestion, transformation, and data integration patterns
from the posting
Read the full posting as the employer wrote it
Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.
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.
Qualifications
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
Work Location
Scheduled Weekly Hours
Employee Type
Work Shift
Pay Range
$75,275.20 - $109,553.60/Annual
Grade
6
EEO Statement:
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.
The posting text is reproduced as the employer wrote it; the index adds nothing to it.