Overview

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

We are seeking a Data Engineer with a strong background in developing technical solutions for Cloud data warehouses to join our team. You will be a critical member of the Informatics & Analytics team supporting the Enterprise Data Systems (EDS) in support of the overall DFCI mission to improve quality and manage healthcare expense trends.

Responsibilities

• PRIMARY DUTIES AND RESPONSIBILITIES:

  • Develops and delivers data & analytics solutions and projects to meet organizational priorities and timelines
  • Design, Development, and unit testing of data pipelines in Informatica IICS
  • Utilize Snowflake cloud database to write SnowSQL and utilize advanced features such as micro partitions and time travel
  • Works with offshore and external partner resources and owns delivery of work items

Qualifications

Minimum Education: Bachelor's degree in Computer Science, Software Engineering or a related field. Master’s degree may substitute for experience.

Minimum Experience: Two years; experience may substitute for degree.

• 2 years experience in IICS (Informatica Cloud)
• Experience with Snowflake cloud database and SnowSQL
• Understanding of data warehousing and ETL concepts

KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:

• Should have advanced SQL skills
• Gitlab experience is a plus
• Good experience with scripting in Python
• Should have prior experience working with Dimensional model and understand data warehousing concepts
• Demonstrates potential for technical proficiency, creativity, collaboration with others, and independent thought
• Excellent communication, problem-solving, and organizational skills
• Must be able to build and manage relationships with all involved, managing expectations at all levels
• Must be capable of working independently with limited to no supervision

At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.

EEOC Poster