Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!The Machine Learning Department MLD at Carnegie Mellon University is a leading hub for research and education in artificial intelligence and machine learning. It focuses on developing innovative algorithms and models to address complex problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of undergraduate and graduate programs, fostering a collaborative environment that bridges theoretical research and practical applications. Faculty and students frequently collaborate with industry and other academic disciplines to push the boundaries of what is possible with machine learning.The Delphi Group within MLD is seeking a versatile Data Engineer proficient in SQL, Python, and Apache Airflow to design, maintain, and optimize robust data pipelines. The ideal candidate blends technical breadth, with additional exposure to tools like Postgres, MySQL, Django, or data visualization, with strong leadership and mentorship abilities. Beyond hands-on engineering, this role requires an adaptable collaborator who can lead small projects, translate complex requirements from a multidisciplinary team of epidemiologists, statisticians, and researchers, and seamlessly bridge the gap between academic research and innovative software solutions.Core ResponsibilitiesSupport, participate in, and lead technical projects.May guide or train lower-level staff. Participates in departmental and cross functional project teams.Develops and maintains technical documentation.Supports user is
