Data Engineer – IBM Quantum

IBM

Quick summary

Work type: On-site
Location: Yorktown Heights, NY
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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TL;DR · Data Engineer – IBM Quantum

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We are seeking a mid-level Data Engineer to join our innovative team at IBM Quantum in Yorktown Heights. This role involves designing and implementing data pipelines that support the development of quantum computing applications, focusing on integrating classical and quantum data sources. You will work closely with researchers and developers to build scalable solutions for processing large datasets and optimizing algorithms. The ideal candidate should have experience with Python, SQL, and cloud platforms like AWS or Azure. Familiarity with Kubernetes, Docker, and CI/CD practices is a plus. This position requires a strong understanding of data engineering principles and an interest in the emerging field of quantum computing, where you will contribute to solving complex computational challenges at scale.

Skills

Python SQL IBM_Quantum Qiskit Cloud_Platforms Git CI/CD Docker Kubernetes

What you'll do

Design and implement quantum algorithms to solve complex computational problems.
Integrate classical data processing systems with quantum computing platforms.
Develop scalable solutions for big data analytics using quantum technologies.
Optimize quantum circuits to enhance performance and reduce execution time.
Conduct research on emerging quantum computing techniques and applications.

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 techniques and tools (e.g., TensorFlow, PyTorch).
Excellent problem-solving skills and ability to work in a collaborative team.

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