Data Engineer Intern

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! Internship activities include: 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 Required qualifications: 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 Familiarity with database tools; and data ingestion, data mining, and/or machine learning being a plus 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 Duration: 10 weeks during the summer – June 8, 2026 to August 14, 2026. This internship is 37.5 hours per week. Compensation: This summer internship position is paid at a rate of $20/hour for actual hours worked. Additionally, ASCO will provide parking or a metro subsidy. Location: This internship is based in Alexandria, VA and will require working onsite the majority of the time with some offsite work flexibility. Candidates should reside in the D.C. metro area or be able to relocate at their own expense. If you are not able to work at ASCO Headquarters, please do not apply. ADA/Physical Requirements Extended periods seated or standing at a desk High use of computer and other office technology equipment To apply for this internship, please submit your application online. Applications are accepted and reviewed on a rolling basis. The job posting will remain active throughout the candidate application evaluation process. The American Society of Clinical Oncology (ASCO) is an Equal Employment Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, national origin, sex, and religion. #J-18808-Ljbffr American Society of Clinical Oncology