Data Engineer Internship

12‑week Summer Internship (June2026) – Hybrid in Portland, OR Build a career with purpose. Join our Cause to create a person‑focused and economically sustainable health care system. Who We Are Looking For As a member of the Platform Technology team, the Data Engineer Interns work side‑by‑side with experienced engineers on automation initiatives spanning ETL, data pipeline orchestration, CI/CD, and AI. Qualifications Pursuing a master’s or bachelor’s degree in Computer Science, Computer Information Systems, Data Science, Business Analytics, or a related field, with at least one year of undergraduate studies completed. No prior work experience required; demonstrated interest in Data Engineering, AI, and analytics through coursework or personal projects preferred. Skills And Attributes Strong analytical and problem‑solving skills. Basic understanding of software engineering, data analysis, and business intelligence concepts. Eagerness to learn new technologies and approaches. Effective written and verbal communication abilities. Basic to intermediate programming or scripting knowledge, including SQL, Python, Pandas, YAML, Bash, Snowflake, Streamlit, Sigma, Python‑based microservices, and AWS. Familiarity with data modeling concepts (e.g., Kimball methodology). Experience with AI tools and technologies to enhance productivity and decision‑making in professional settings highly desired. Familiarity with Retrieval Augmented Generation (RAG) concepts. Ability to predict cost of compute across proposed execution steps. Ability to work independently and as part of a team. Strong attention to detail and organizational skills. Previous exposure to building scalable data solutions applying best data structures and algorithms principles. What You Will Do Evaluate open‑source software solutions or vendor products within the Snowflake ecosystem to drive departmental productivity and reduce cloud compute costs. Research and evaluate relevant Snowflake product features as they relate to day‑to‑day data engineering work. Assist in developing and testing data orchestration pipelines utilizing Apache Airflow. Help build Snowflake data replication and cloning capabilities. Assist in developing and testing various ETL pipelines. Help identify AI Agent solutions for data access management capabilities and assist in building CI/CD pipelines to automate data engineering code deployment. Document findings, create proof‑of‑concept demonstrations, and collaborate with team members on solution design and various Data Engineering projects. This is a temporary, non‑benefitted position. The base salary range is $32–$40 per hour, depending on experience. Equal Opportunity Statement We are an Equal Opportunity employer dedicated to a drug and tobacco‑free workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status or any other status protected by law. A background check is required. #J-18808-Ljbffr