Research Data Engineer II- Cabin
Core
Designing, developing, and maintaining data engineering and analytics infrastructure to support MRI research, neuroimaging workflows, and multimodal scientific data analysis.
Role type
Data Engineer (Research Computing)
Builds
Scalable data pipelines, software systems, and data integration frameworks for MRI and neuroscience research.
Domain
Neuroscience / Medical Imaging / Research Computing
Deliverable
production ML models | infrastructure
Required skills
SQL, Python, R, Java, ETL pipeline development, data architecture design, Linux-based scientific computing, version control (Git), automated testing, technical documentation.
Preferred skills
MRI/neuroimaging data formats (DICOM, NIfTI), High-Performance Computing (HPC), container technologies (Docker/Singularity), cloud infrastructure (IaaS/PaaS), research data management systems (REDCap).
Responsibilities
Design and build scalable ETL pipelines for large volumes of MRI and research data; Develop tools and applications to support MRI data collection, processing, and analysis; Implement project-specific data workflows including automated ingestion and preprocessing; Support development and maintenance of research data infrastructure including data lakes and HPC environments; Participate in testing and validation of data pipelines and system integrations; Develop and maintain technical documentation for data pipelines and system architecture.
Seniority
Mid-level IC