The Delphi Group within Carnegie Mellon University's Machine Learning Department is seeking a Data Engineer to design, maintain, and optimize robust data pipelines. The role calls for proficiency in SQL, Python, and Apache Airflow, with additional exposure to tools such as Postgres, MySQL, Django, or data visualization. The Data Engineer will collaborate with a multidisciplinary team of epidemiologists, statisticians, and researchers, translate complex requirements, and connect academic research with software solutions. The role also involves leadership and mentorship, including leading small projects and potentially guiding or training lower-level staff. The position supports the department's work in machine learning research and education across fields such as robotics, healthcare, and finance. The successful candidate will contribute to technical projects, maintain documentation, support system users, assess requests for feasibility and compatibility, and design, develop, test, and maintain applications or systems programs. A bachelor's degree in computer science or a related field and 3–5 years of system programming and/or system administration experience are required. A combination of education and proven experience demonstrating comparable knowledge may also be considered.
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Job Type
Full-time
Career Level
Mid Level