Data Engineer – IBM Quantum

IBM

Quick summary

Work type
On-site
Location
Austin, TX
Posted
6 days ago

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How this pay compares to similar roles

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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At a glance

TL;DR · Data Engineer – IBM Quantum

We are seeking a mid-level Data Engineer to join our innovative team at IBM Quantum in Austin, Texas. This role involves designing and implementing robust data pipelines that support quantum computing research and development. You will work closely with scientists and engineers to build scalable solutions for processing large datasets generated by quantum simulations and experiments. Key responsibilities include developing ETL processes, creating automated data validation scripts, and integrating various data sources into our analytics platform. Proficiency in Python, SQL, and experience with cloud platforms like AWS or Azure is essential. Familiarity with Kubernetes and containerization technologies will be highly beneficial. This position offers the opportunity to contribute to cutting-edge research in quantum information science at a scale that impacts global technological advancements.

What you'll do

  • Design and implement quantum algorithms to solve complex computational problems.
  • Integrate classical data processing with quantum computing frameworks.
  • Optimize quantum circuits for efficient execution on quantum hardware.
  • Develop tools for simulating quantum systems and benchmarking performance.
  • Collaborate on research projects involving quantum machine learning techniques.

What we're looking for

  • 3+ years of experience in data engineering and cloud technologies.
  • Proficient in Python for scripting and automation tasks.
  • Strong background in database management and SQL.
  • Experience with big data tools like Hadoop or Spark.
  • Knowledge of IBM Quantum computing platforms and ecosystems.
  • Excellent problem-solving skills and attention to detail.

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