Data Engineer

Mass General BrighamBoston, MA
40dHybrid

About The Position

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. This role is Hybrid 1-2 days on site, and 3-4 days remote. Candidates must live in New England and be within an hour and a half of Boston. 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. Does this position require Patient Care? No

Requirements

  • Bachelor's Degree Computer Science required, or bachelor's degree Related Field of Study required
  • Data warehousing development in large reporting environment(s) 2-3 years required
  • Experience with developing data pipelines using on Snowflake features ( Snowpipe, Snow SQL, Snow Sight, Data Streams) required
  • Hands-on development experience with ETL/ELT tools, such as dbt, Fivetran, or Informatica required
  • Experience working in Agile software development environment required
  • Working knowledge of cloud computing platforms such as AWS, GCP, or Azure.

Nice To Haves

  • Familiarity with enterprise data warehousing systems a plus.

Responsibilities

  • Design, develop, and implement data pipelines and ETL/ELT code to support business requirements.
  • Maintain and optimize various components of the data pipeline architecture.
  • Deliver high quality, efficient solutions to meet technical standards and industry best practices.
  • Deliver optimal technical solutions for business and operational requirements.
  • Participate in team design sessions and contribute options and solutions Produce and support product documentation.
  • Participate in ETL Quality circle discussions to explore, discuss, and arrive at efficient solutions and best practices.
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