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IBM

IBM, formally known as International Business Machines Corporation, is an American multinational technology giant headquartered in Armonk, New York. Nicknamed "Big Blue," IBM is one of the world's oldest and most historically significant IT companies. Today, IBM focuses primarily on hybrid cloud infrastructure, enterprise artificial intelligence, and business consulting services.

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.
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