Temporary Data Engineer (with Apache Airflow 2.0 and 3.0 experience) - Temporary Employment Services

Carnegie Mellon University • Pittsburgh, PA

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About The Position

Are you in search of an outstanding opportunity to gain hands-on experience, develop new skills, and work at a prestigious research university? TES is a trusted resource for temporary employment across the university, providing candidates with the opportunity to showcase their skills in a dynamic and collaborative environment. TES provides full-time temporary positions that offer: Valuable hands-on training and experience Competitive benefits Opportunities for long-term career growth Carnegie Mellon University’s Temporary Employment Services (TES) is seeking a Temporary Data Engineer with Apache Airflow 2.0 and 3.0 experience. The Temporary Data Engineer with Apache Airflow 2.0 experience will support the Delphi Group in the Machine Learning Department in its day-to-day functions. In this role, you will be responsible for building, maintaining, and optimizing our data pipelines. You will work closely with collaborators to translate detailed specifications into robust, scalable systems that power our data-driven decision-making.

Requirements

• Associate's degree required A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.
• Airflow Experience: Confirmed experience building and managing Directed Acyclic Graphs (DAGs) in Apache Airflow 2.0 and 3.0.
• Technical Expertise: Strong proficiency in programming (Python preferred) and SQL.
• System Design: Ability to develop applications from the ground up based on complex specifications.
• Communication: Strong documentation skills to translate technical processes for various team members.
• Requirement: Successful completion of a background check.
• Applicants for this position must be currently legally authorized to work for CMU in the United States.
• CMU will not sponsor or take over the sponsorship of an employment visa for this opportunity.
• CMU is not a qualifying employer for the STEM OPT benefit: only the 12-month OPT may be used to work at Carnegie Mellon.

Responsibilities

• Orchestration: Design, develop, and run end-to-end workflows using Apache Airflow 2.0 and 3.0 to ensure efficient data processing.
• Pipeline Development: Modify and develop complex data applications and system programs based on detailed technical specifications.
• Quality Assurance: Code, test, and debug programs to ensure data integrity and system reliability.
• Documentation: Build and maintain comprehensive user documentation for system architectures and ETL processes.
• Continuous Improvement: Monitor system performance and perform related duties to ensure high availability of data assets.

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!

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Associate degree
• Number of Employees: 5,001-10,000 employees