Research Software and Data Engineer
3 days ago
Maryland United States, Maryland
University of Maryland
Full-time
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Physical Demands
Sedentary work. Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects. Repetitive motion. Substantial movements (motions) of the wrists, hands, and/or fingers. The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. Must be able to attend meetings on campus. Some evening and weekend work might be required. This position is considered an essential position and may be required to work at the normal work location or an alternative location during a major catastrophic event, weather emergency, or other operational emergencies to help maintain continuity of University services.
Minimum Qualifications
Education:
Bachelor’s degree from an accredited college or university.
Experience:
One to four years experience supporting research computing systems and software or working in software and data engineering environments. Additional work experience as defined above may be substituted on a year for year basis for up to four (4) years of the required education. Knowledge, Skills, Abilities: Software Engineering: Experience using software engineering best practices and tools (sprints, code review, using code repositories, using issue trackers) Data Science: experience working in roles or on projects that required data science techniques Experience designing and implementing computing infrastructure (selecting system components such as CPU , GPU , storage) Basic knowledge of network and security protocols, policies, and standards. Skilled with modern languages such as Python, R, or C++, and Linux command line. Cybersecurity: knowledge of IT security techniques and controls for protecting data confidentiality; knowledge of Secure by Design concepts Communication
Skills:
Able to communicate effectively to large and small audiences of technical and non-technical stakeholders.
Sedentary work. Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects. Repetitive motion. Substantial movements (motions) of the wrists, hands, and/or fingers. The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. Must be able to attend meetings on campus. Some evening and weekend work might be required. This position is considered an essential position and may be required to work at the normal work location or an alternative location during a major catastrophic event, weather emergency, or other operational emergencies to help maintain continuity of University services.
Minimum Qualifications
Education:
Bachelor’s degree from an accredited college or university.
Experience:
One to four years experience supporting research computing systems and software or working in software and data engineering environments. Additional work experience as defined above may be substituted on a year for year basis for up to four (4) years of the required education. Knowledge, Skills, Abilities: Software Engineering: Experience using software engineering best practices and tools (sprints, code review, using code repositories, using issue trackers) Data Science: experience working in roles or on projects that required data science techniques Experience designing and implementing computing infrastructure (selecting system components such as CPU , GPU , storage) Basic knowledge of network and security protocols, policies, and standards. Skilled with modern languages such as Python, R, or C++, and Linux command line. Cybersecurity: knowledge of IT security techniques and controls for protecting data confidentiality; knowledge of Secure by Design concepts Communication
Skills:
Able to communicate effectively to large and small audiences of technical and non-technical stakeholders.