Data Engineer

The Data Engineer supports the NSF-funded Programmable Cloud Lab Center’s research mission by developing and maintaining data infrastructure for the SPEED national autonomous-science user facility. The position connects scientific instruments, laboratory automation, robotics, AI, and research data systems to support reliable, organized, and accessible experimental data. As the Data Engineer, you will contribute to an interdisciplinary research environment serving academic, government, and industry users while supporting reproducible experimentation and data-driven scientific discovery.

Core Job Responsibilities:

• Build and operate scientific data ingestion, transformation, and processing pipelines
• Design schemas for samples, experiments, metadata, provenance, and instrument outputs
• Maintain databases, object/time-series storage, indexing, and data-access services
• Implement automated data-quality, validation, unit, completeness, and provenance checks
• Integrate data systems with laboratory automation, software, AI, and user workflows
• Manage access controls, monitoring, backup/recovery, documentation, and user support

If you are a data engineering professional interested in applying your expertise to scientific research, this position offers an opportunity to support innovative autonomous laboratories and contribute to data-driven discovery in chemistry and materials science. We welcome you to apply and join our team.