Data Engineer
Not Disclosed•Full-TimeOn-site
location_on1757, T.W. Alexander Drive, Durham, Durham County, North Carolina, 27703, United States
IBM Quantum is building the world's leading quantum computing systems, software, and cloud services. This role sits at the intersection of deep technology and data infrastructure, where the mission is to turn diverse technical datasets into trusted analytics assets. These assets guide decision-making across IBM Quantum's roadmap, ensuring that quantum hardware performance, system reliability, and user workloads are understood and optimized.
As a seasoned Data Engineer specializing in Data Integration, you will design and build solutions to transfer data from operational and external environments to the business intelligence environment. Your expertise will ensure the seamless flow of data throughout the business intelligence solution's lifecycle. You will work closely with quantum hardware, firmware, cloud, and product teams to transform raw telemetry, calibration data, experiment logs, and system health metrics into reliable insights.
In this position, you will be instrumental in building IBM Quantum's Lakehouse, implementing scalable data connectors, and operating complex ETL/ELT workflows. Your work will directly support the reliability of quantum systems by enabling advanced analytics on high-volume, heterogeneous datasets ranging from device performance metrics to user activity logs.
Candidates for this role will undergo a structured evaluation designed to assess both technical depth and cultural fit. The process typically includes:
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Work model: On-site
1757, T.W. Alexander Drive, Durham, Durham County, North Carolina, 27703, United States
Durham, North Carolina
Experience with Lakehouse solutions and architectures, including IBM watsonx.data. Experience with distributed analytics engines such as Presto/Trino, or Apache Spark. Familiarity with data modeling techniques for analytical and reliability engineering use cases. Exposure to data governance concepts such as access control, dataset ownership, lineage, and lifecycle management. Experience operating data pipelines in cloud-based or distributed environments (e.g., hybrid cloud, containerized systems). Experience working with hardware telemetry, infrastructure monitoring data, or high-volume operational datasets. Interest in or exposure to quantum computing, advanced hardware systems, cryogenics, or other deep-technology platforms.
