Data Engineer - School of Computer Science - MLD

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Tuition benefits

Paid time off

Life and disability insurance

Pittsburgh bus pass

Fitness center access

Job summary

Carnegie Mellon University’s Delphi Group within the Machine Learning Department seeks a versatile Data Engineer proficient in SQL, Python, and Apache Airflow to design, maintain, and optimize robust data pipelines. The candidate should blend technical breadth with exposure to Postgres, MySQL, Django, or data visualization, and possess leadership and mentorship abilities.

The role requires translating complex requirements from epidemiologists, statisticians, and researchers, leading small

Responsibilities

• Lead technical projects
• Mentor junior staff and collaborate with cross-functional teams
• Develop and maintain technical documentation
• Support user issues related to system performance and availability
• Assess feasibility, cost, and requirements; design specifications
• Design, develop, test, and maintain applications or systems programs

Job description

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 Responsibilities

• Support, 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 issues related to the system or application performance and availability.
• Evaluates user requests to determine feasibility, cost and time requirements and system compatibility. Develops specifications based on user and system requirements.
• Designs, develops, tests and maintains applications or systems programs.

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.

Qualifications

• Bachelor’s Degree in computer science or related field required.
• Minimum 3-5 years of system programming and/or system administration experience required.
• Strong communication, organization, planning, and teamwork skills necessary.
• 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

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well‑deserved breaks with ample paid time off and observed holidays, 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 to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

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.

Location

Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information

• Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance