Site: Mass General Brigham Incorporated
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 notforprofit we support patient care research teaching and community service striving to provide exceptional care. We believe that highperforming 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 overseeing the design development implementation and maintenance of data solutions within the organization. Support team of data engineers collaborating with crossfunctional teams data scientists and business stakeholders to ensure the efficient and reliable management of data.
Essential Functions
Develop ETL/ELT architectural patterns guidelines and methods to manage data assets across the data life cycle from creation or acquisition through archival and purge.
Design and implement ETL/ELT architectural standards for multiple data platforms and technologies.
Drive delivery of highly optimized scalable and resource efficient ETL systems.
Evaluate and recommend new ETL/ELT features products and technology.
Act as an escalation point to troubleshoot and solve technical challenges.
Provide leadership in ETL/ELT designs architectural decisions and technical solutions.
Develop test and implement new and revised features and functionality as needed.
Lead code review and knowledge transfer sessions for project ETL deliverables.
Develop Data Engineering Quality circle agenda and drive implementation of standards and best practices.
Mentor and support junior and senior data engineers sets.
- Bachelors Degree Computer Science required or Bachelors Degree Related Field of Study required
- MGB can review and consider experience in lieu of a degree
- Experience in professional information technology positions 810 years required and Data warehousing development in large reporting environment(s) 57 years required and Experience working with data integration tools ETL frameworks and workflow management systems (e.g. Apache Airflow) required
Knowledge Skills and Abilities
Strong expertise in data engineering principles data modeling ETL development and data warehousing.
Strong ability in building data pipelines using Snowflake features ( Snowpipe SnowSQL Snow Sight Data Streams ).
Proficiency in working with relational databases (e.g. SQL Server Oracle PostgreSQL) and NoSQL databases (e.g. MongoDB Cassandra).
Familiarity with cloudbased data solutions preferably with AWS Azure or Google Cloud Platform.
Additional Job Details (if applicable)
Working Conditions
- Onsite Flexible working model required
- In Office onsite weekly as planned for business needs
- MF Eastern Business Hours required remote working days require stable secure quiet working area
Remote
399 Revolution Drive
40
Regular
Day (United States of America)
Mass General Brigham Incorporated 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 Veterans 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)2827642.
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 PeopleFocused half PerformanceFocused) 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.