Data Engineer – IBM Quantum

IBM

Quick summary

Work type: On-site
Location: Chicago, IL
Posted: 6 days ago

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Similar $169k

$115k most similar roles pay here $221k

This listing doesn't post a salary. Most similar roles pay $126,800–$211,200.

Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 743 open roles on FindRole.

Listed pay typically runs $1,000,000–$1,000,000 across 8 roles with salary data.

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TL;DR · Data Engineer – IBM Quantum

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We are seeking a mid-level Data Engineer to join our dynamic team at the forefront of quantum computing research and development in Chicago. This role involves designing and implementing robust data pipelines that support real-time analytics and machine learning models for quantum systems. You will work closely with scientists and engineers to process large datasets generated by quantum experiments, ensuring data integrity and scalability. Key technologies include Python, SQL, Apache Spark, and Kubernetes, alongside IBM Quantum tools and platforms. The ideal candidate has a strong background in cloud computing, experience with big data frameworks, and an interest in emerging technologies like quantum computing. This position offers the opportunity to contribute to groundbreaking research while tackling complex challenges in data engineering at scale.

Skills

IBM Quantum Python SQL Kubernetes Docker Git Jenkins CI/CD AWS Azure PostgreSQL MongoDB Redis Linux Hadoop Spark Tableau Snowflake

What you'll do

Design and implement data pipelines for quantum computing projects.
Develop algorithms to process large datasets efficiently on classical systems.
Integrate quantum computing solutions with existing enterprise data infrastructure.
Optimize data storage and retrieval methods for quantum applications.
Conduct experiments to evaluate performance of quantum versus classical computing.

What we're looking for

Bachelor's degree in Computer Science, Engineering, or related field.
Proficiency in Python and experience with cloud platforms like AWS or Azure.
Strong background in data modeling, ETL processes, and database management.
Experience with quantum computing frameworks such as Qiskit or Cirq.
Knowledge of machine learning libraries (TensorFlow, PyTorch) and statistical analysis.
Familiarity with DevOps practices and continuous integration/continuous deployment.

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