Data Engineer - School of Computer Science - MLD

• Writing documentation, technical papers, progress reports and participating in meetings/committees.
• Contributor in developing and documenting research findings and collaborator in writing scientific papers
• Acts as team leader, providing project management direction
• Lead research efforts within main goals of project and help coordinate interactions with other team members and universities.
• Propose and lead independent research goals within scope of projects.

Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.

• Bachelor’s degree required. Master’s degree preferred.
• 5-8 years of relevant work experience required.
• Experience in agile software development, SQL, data visualization, web development, and statistics/data analytics highly desired.
• A combination of education and proven experience from which comparable knowledge is demonstrated may be considered.

Requirements :

• Successful completion of a pre-employment background check

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 Data Engineer to join the team! The ideal candidate would have experience with recent versions of Apache Airflow, but we are open to other candidates with strong programming and interpersonal skills who are interested in moving more deeply into the data engineering space. We’re looking for someone who will be a team player who is able to work with people from diverse backgrounds, with different levels of statistical, epidemiological, and software development experience, to produce an innovative product as a member of a team of academics, statistical developers and data engineers., Benefits eligible (https://www.cmu.edu/hr/benefits/eligibility/index.html) employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance (https://www.cmu.edu/hr/benefits/health-welfare/index.html) as well as a generous retirement savings program (https://www.cmu.edu/hr/benefits/retirement-savings/index.html) with employer contributions. Unlock your potential with tuition benefits (https://www.cmu.edu/hr/benefits/tuition/index.html) , take well-deserved breaks with ample paid time off (https://www.cmu.edu/hr/benefits/time-away/pto.html) and observed holidays (https://www.cmu.edu/hr/benefits/time-away/holidays.html) , and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team (https://www.cmu.edu/hr/work-life/support/family-child-care-resources/index.html) to help navigate childcare needs, fitness center access (https://athletics.cmu.edu/recreation/facilities) , and much more!

For a comprehensive overview of the benefits available, explore our Benefits page (https://www.cmu.edu/hr/benefits/index.html) .

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations., Interested in a career with Carnegie Mellon University but not finding anything that currently aligns with your interests, background, or experience? Learn how to sign up for Job Alerts (https://www.cmu.edu/jobs/external-applicants.html#job-alerts) through your candidate profile.

If your heart is in your work, come work with us. Carnegie Mellon University isn’t just one of the world’s most renowned educational institutions - it’s also a hotspot for some of the most talented doers, dreamers, and difference-makers on the planet. When you join our staff, you’ll become an important part of our mission to create a healthier, safer, and more just life for all. No matter what your role or location, you’ll connect and collaborate with dedicated, passionate colleagues - and you’ll have the satisfaction of delivering work that truly matters.

We cultivate a vibrant, welcoming environment where everyone is valued and encouraged to contribute and achieve. In addition to competitive benefits and a robust support network, you’ll have access to many tools and resources to sharpen your abilities and professional skills, as well as opportunities to engage and share perspectives with a dynamic and inspiring community of uniquely talented staff, faculty, students, and alumni.