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

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.

Core responsibilities will include:

• 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.

Flexibility, exceptional performance, and enthusiasm are key characteristics valued at Carnegie Mellon University. We are in need of a team member who can adeptly engage with a wide array of internal and external partners with a strong sense of integrity. We are searching for an individual who resonates with our values and is dedicated to furthering the university's mission through their contributions.

Qualifications:

• 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.

Additional Information:

• Sponsorship: 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. Carnegie Mellon is not a qualifying employer for the STEM OPT benefit: only the 12-month OPT may be used to work at Carnegie Mellon.

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.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!