Staff Data Engineer - Data Acquisition & Observability

March 21

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PsiQuantum

PsiQuantum is a company dedicated to building and deploying the world's first useful quantum computers. Their approach involves a photonics-based architecture, leveraging existing infrastructure to create utility-scale, fault-tolerant quantum computers as rapidly as possible. With a team of quantum architects, chemists, developers, engineers, and theorists, PsiQuantum focuses on developing use-cases for quantum computers capable of solving complex, intractable problems. The company is actively involved in research and scaling their photonics approach to achieve large-scale, fault-tolerant quantum computing.

Quantum Computing • Quantum Algorithms • Quantum Computing Applications Research • Quantum Technology • Quantum Physics

📋 Description

• Quantum computing holds the promise of humanity’s mastery over the natural world, but only if we can build a strong quantum computer. • PsiQuantum is on a mission to build the first real, useful quantum computers, capable of delivering the world-changing applications that the technology has long promised. • By harnessing the laws of quantum physics, quantum computers can provide exponential performance increases over today’s most powerful supercomputers. • PsiQuantum has determined the fastest path to delivering a useful quantum computer, years earlier than the rest of the industry. • In 2024, PsiQuantum announced two government-funded projects to support the build-out of our first Quantum Data Centers and utility-scale quantum computers in Brisbane, Australia and Chicago, Illinois. • Quantum computing is not just an evolution of the decades-old advancement in compute power. It provides the key to mastering our future, not merely discovering it. • There’s much more work to be done and we are looking for exceptional talent to join us on this extraordinary journey! • PsiQuantum’s Electronic OS Platform team is looking for a Staff Data Engineer to focus on schema management, data integrations, and optimizations.

🎯 Requirements

• Bachelor’s Degree or higher in Computer Science, Engineering or other related technical field. • 10+ years in data engineering, focusing on schema design and optimization. • Strong expertise in database paradigms (relational, document, time-series, object-store, block, file). • Experience integrating with streaming/messaging platforms (Kafka, Pulsar, RabbitMQ). • Proficiency in SQL, Python, and data transformation techniques. • Knowledge of specific storage and networking protocols (iSCSI) a plus. • Understanding of data modeling, indexing, and partitioning strategies. • Familiarity with ETL/ELT workflows and data pipeline orchestration. • Experience with observability tools (Prometheus, Grafana, OpenTelemetry, ELK stack). • Knowledge of CI/CD workflows and automated deployment strategies. • Able to work effectively across a number of different teams/functionalities. • Excellent communication skills

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