Research Data Engineer I

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.

Job Location (Full Address):

250 East River Rd, Rochester, New York, United States of America, 14623

Opening:

Worker Subtype:

Regular

Time Type:

Full time

Scheduled Weekly Hours:

40

Department:

250548 LLE-Laboratory for Laser Energ

Work Shift:

UR - Day (United States of America)

Range:

UR URG 109

Compensation Range:

$55,955.00 - $78,336.00

The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.

Responsibilities:

The NSF OPAL project at the University of Rochester is seeking to hire a Research Data Engineer to support the design and implementation of data science-based software and data pipelines, to enable scientific workflows of a potential future research facility. Assists in the design, documentation, and development of the facility requirements, operations concepts, integration and commissioning plans, and project management products. Receives guidance from and acts in support of a team aimed at providing robust, scalable software solutions to the research enterprise

ESSENTIAL FUNCTIONS

• Architecture development, requirements management, interface documentation, scheduling, integration, test and evaluation, risk management and design analysis.
• Supports the architecture development of custom, research-specific data workflow solutions for data collection, management, sharing, reporting and analytics.
• Collaboration with a multifunction team – project management, project engineers (mechanical, optics, electrical, IT), scientists and experimentalists, and students to ensure functional integration and requirements compliance through system design, development, testing, and sustainment.
• Participation in design discussions for project WBS elements and contribute to developing design solutions based on analysis of requirements and new/reuse technologies.