Data Engineer

Job Description

Job Title: Data Engineer – IBM Quantum. Location:

• Research Triangle Park, North Carolina, USA
• Yorktown Heights, New York, USA
• Austin, Texas, USA
• Chicago, Illinois, USA
• New York, New York, USA

Responsibilities:

• Design, build, and maintain scalable data pipelines supporting analytics, operational dashboards, and quantum hardware performance insights
• Develop and operate ETL/ELT workflows with a focus on data quality, accuracy, and reliability
• Build scalable data connectors for IBM Quantum's Lakehouse platform
• Write and optimize SQL queries using PostgreSQL and Presto
• Build and maintain workflow orchestration using Apache Airflow;
• Implement data transformation and validation using Python and related libraries
• Support batch processing for large-scale datasets, including telemetry, experiment metadata, cloud operations, and device performance metrics
• Develop streaming data solutions using Apache Kafka or IBM Event Streams
• Integrate quantum hardware telemetry, calibration data, experiment logs, job execution data, user activity, and system health metrics into trusted analytical datasets
• Collaborate with quantum hardware, software, SRE, analytics, and product teams to deliver production-ready data solutions
• Use Git-based version control, code reviews, and software engineering best practices

Qualifications:

• Bachelor's degree in a relevant field required
• Master's degree preferred
• Experience designing and maintaining scalable ETL/ELT data pipelines
• Strong SQL skills using PostgreSQL and Presto
• Experience with Apache Airflow workflow orchestration;
• Proficiency in Python for data transformation and validation
• Experience processing large-scale operational and telemetry datasets
• Experience with Apache Kafka or similar streaming platforms
• Experience using Git and collaborative software development practices

Preferred:

• Experience with Lakehouse architectures, including IBM watsonx.data
• Experience with Presto, Trino, or Apache Spark
• Knowledge of analytical data modeling techniques
• Understanding of data governance, lineage, and lifecycle management
• Experience operating cloud-based or distributed data pipelines
• Experience working with hardware telemetry and infrastructure monitoring data
• Interest or experience in quantum computing, advanced hardware systems, or cryogenics

Benefits And Compensation:

• Salary ranging from $116,000 to $200,000 per year
• Medical, dental, vision, prescription drug, and mental health benefits
• 401(k), pension plan, employee stock purchase plan, life insurance, and disability coverage
• Paid holidays, vacation, sick leave, parental leave, and family leave programs
• AI-powered learning platform with training and professional certifications
• Employee resource groups, volunteer opportunities, and retail discounts

Other Information:

• Hybrid work arrangement
• Up to 20% travel required
• No visa sponsorship available now or in the future;
• Employment is subject to IBM hiring policies and applicable legal requirements
• Applications are accepted until the position is filled or the posting period ends.