Data Engineer Intern

American Society of Clinical Oncology•Alexandria, VA

9h•Onsite

About The Position

Are you interested in making a world of difference in cancer care? Cancer strikes more than 10 million people worldwide each year. As the leading medical society representing doctors who care for people with cancer, the American Society of Clinical Oncology (ASCO) is committed to conquering cancer through research, education, and promotion of the highest quality care. Internship Overview: ASCO is a flexible, high-performance membership organization where employees collaborate to support our mission through evidence, care, and impact. Together with Conquer Cancer, the ASCO Foundation, we foster a culture that prioritizes customer-centricity, emphasizes teamwork, and commits to quality. Our culture, ASCO Works – Our Way of Working, has long enabled workplace flexibility and embraced technology to help us achieve balance. This is an Alexandria, VA based internship. To learn what it’s like to work at ASCO , click here . Who we are looking for: ASCO’s Information Technology Department is seeking a Data Engineer Intern to collaborate within a fast-paced, agile environment and support our efforts in extracting, transforming and loading data from external sources to enhance our data-driven decision making. Don't miss this chance to make a meaningful contribution to ASCO while gaining valuable hands-on experience working data pipelines, streams, and data sets while creating documentation. Apply now and join our team!

Requirements

Currently enrolled in an undergraduate BA/BS degree program, or graduate program, or recently graduated from a 4-year degree program. Candidates must be at least a junior or entering their junior year of college at the start of the internship.
Knowledge of database engineering and data storage
Hands-on experience working with SQL and Python
Experience with the Microsoft Office Suite (365 preferred)
Strong interpersonal and communication skills
Ability to work in a fast-paced, team-oriented environment with flexibility to adapt to changing needs
Solid organizational and time management skills and attention to detail
Excellent customer service skills and professionalism
Willingness to enhance skills

Nice To Haves

Familiarity with database tools; and data ingestion, data mining, and/or machine learning being a plus

Responsibilities

Gain practical experience with Infrastructure as Code (IaC) for data stores (multi-cloud)
Work closely with Data Engineers to create and use datasets to support the business teams
Identify data sources, determine extractions methods and carry out, and transform the data to work other data streams or pipelines
Assist in data generation for multiple schema types (relational and non-relational)
Develop an understanding of data volume and complexity for scaling
Learn and work w/ the CI/CD team for Integration and Automation
Develop documentation to enable developers