Research Data Engineer
Core
Build and advance secure computing capabilities to enable cutting-edge research, managing sensitive and regulated data for faculty and research teams.
Role type
Research Data Engineer
Builds
Secure data pipelines, data management plans, and automated computational workflows for research projects.
Domain
Higher Education / Research Computing / Data Governance
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Data modeling, ETL, data integration, database administration, Linux system administration, scripting (Python, Bash), federal compliance regulations (FERPA, FISMA, NIST, DFARS/CMMC), data governance, workflow automation
Preferred skills
Advanced degree in CS/Engineering, hands-on research experience in science/engineering/biomedical computing, knowledge of FedRAMP and CUI requirements, experience with SQL and batch scripting
Technologies
Python, Bash, SQL, PostgresSQL, Linux
Responsibilities
Design and manage secure data pipelines for ingestion, transformation, and export of sensitive datasets; Develop and maintain data management plans and usage agreements for federal sponsors; Coordinate with Cybersecurity Office for incident management; Create and automate data-processing workflows to reduce manual effort; Support researchers with data management and advanced computing workflows; Develop and deliver training and guidance on secure data handling; Partner with stakeholders to define workflows for the secure computing user portal.
Seniority
Mid-level, hands-on IC
