The Data Engineer role at IBM Quantum focuses on designing and operating data pipelines that enhance insights into quantum hardware performance and system reliability. The position involves collaboration with various teams, including hardware, firmware, and product teams, to transform diverse datasets into reliable analytics. This role is essential for ensuring the seamless flow of data throughout the business intelligence solution's lifecycle. The ideal candidate will contribute to building IBM Quantum's Lakehouse and support large-scale data processing.

• Bachelor's degree in a relevant field is required, with a master's degree preferred.
• Experience in designing and maintaining scalable data pipelines.
• Proficiency in SQL, particularly with PostgreSQL and Presto.
• Familiarity with ETL processes and data integration solutions.
• Knowledge of orchestration workflows in Apache Airflow.

• Design and implement Extract, Transform, and Load (ETL) processes for data transfer.
• Monitor and troubleshoot data integration issues to optimize data flow.
• Continuously evaluate and improve data integration solutions.
• Collaborate with various teams to translate requirements into data solutions.
• Support large-scale batch processing for high-volume datasets.

• IBM offers competitive compensation, healthcare coverage, retirement programs, paid parental leave, tuition assistance, wellness programs, flexible work options, and extensive learning and certification resources.