Quantum Data Engineer: ETL & Lakehouse Architect

IBM Computing; Town of Yorktown (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

IBM Quantum in the United States seeks a Data Engineer specializing in Data Integration to design and operate data pipelines powering insights into hardware performance, system reliability, and user workloads. You will collaborate with hardware, software, and analytics teams to build production-ready ETL/ELT workflows and support Lakehouse initiatives with modern tooling.

Ideal candidates have strong SQL, Python, Airflow, Kafka, and Presto experience, plus a track record of delivering reliable

Qualifications

• Experience building scalable data pipelines for analytics and hardware insights.
• Experience with Lakehouse architectures and IBM watsonx.data preferred.
• Familiarity with data governance concepts and lineage is a plus.

Responsibilities

• Design, build, and maintain scalable data pipelines for analytics and hardware insights.
• Contribute to IBM Quantum Lakehouse by implementing scalable data connectors.
• Develop and operate ETL/ELT workflows with focus on data quality and timeliness.
• Collaborate with cross-functional teams to productionize data solutions.

Skills

ETL development

SQL proficiency

Apache Airflow

Python data tooling

PostgreSQL

Presto/Trino

Apache Kafka

Lakehouse

IBM watsonx.data

Data modeling

Cloud / distributed envs

Git version control

Tools

Apache Airflow

Kafka

Presto/Trino

Spark

IBM watsonx.data

Job description

IBM Quantum in the United States seeks a Data Engineer specializing in Data Integration to design and operate data pipelines powering insights into hardware performance, system reliability, and user workloads. You will collaborate with hardware, software, and analytics teams to build production-ready ETL/ELT workflows and support Lakehouse initiatives with modern tooling.

Ideal candidates have strong SQL, Python, Airflow, Kafka, and Presto experience, plus a track record of delivering reliable