Data Pipeline Engineer - School of Computer Science - MLD

About this role

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.


We are seeking a
Data Pipeline Engineer
to join the team! As a Data Pipeline Engineer, your role is vital in ensuring the integrity and reliability of our data pipelines. This position is responsible for monitoring, troubleshooting, and conducting root cause analysis of data quality issues within our pipelines, but as a part time team member, you will consult and assist rather than lead in these areas. Your contributions are crucial to maintaining the high standard of our epidemiological tracking and forecasting tools. This role will report directly to the Delphi Engineering Manager.


Core Responsibilities

• Monitor and maintain the health and efficiency of data pipelines.
• Troubleshoot and perform root cause analysis for data discrepancies and pipeline issues.
• Communicate with data providers to understand data discrepancies and manage changes in data delive...