Research Software and Data Engineer

University of Maryland•College Park, MD

5d•$105,800 - $126,960•Onsite

About The Position

This position is available within the University of Maryland’s Division of Information Technology (DIT). The Research Computing team, part of the University of Maryland’s Division of Information Technology (DIT), designs and supports advanced technology systems and services used by researchers at UMD - a top 20 public research institution. The Research Software and Data Engineer will play a key role in designing, implementing, and supporting research cyberinfrastructure, software, and data-facing solutions.

Requirements

Bachelor’s degree from an accredited college or university.
Three to five years experience working in software and data engineering environments.
Knowledge of research computing technologies: Batch processing, Relational Database architectures, Data Science tools, Data pipelines, ETL, and data workflows.
Knowledge of machine learning frameworks such as PyTorch, TensorFlow, and JAX.
Knowledge of creating and operating container based infrastructure; knowledge of Docker or similar technology.
Knowledge of GPU programming.
Skill in programming, particularly in the languages used in our computational research applications (Julia programming language, C/C++, FORTRAN, python, R).
Skilled at providing technical solutions to complex problems in diverse computing environments.
Skill in oral and written communication.
Skill in the use of Google and Microsoft Office products.
Ability to learn new programming languages and technologies beyond area of core knowledge.
Ability to effectively communicate technical concepts with non-technical audiences.
Ability to multitask while demonstrating a commitment to customer service.

Nice To Haves

Thorough knowledge of software lifecycle and software engineering best practices (sprints, code reviews, testing)
Thorough knowledge of data science methods
Ability to communicate with both technical and non-technical clients
Experience with version control systems and issue trackers
Experience with cloud platforms, to include code development, familiarity with APIs, user management
Experience implementing/operating with controls for NIST SP 800-171, HIPAA Security and Privacy rules, or similar levels of security and compliance

Responsibilities

Work with researchers to design, plan, and implement secure, compliant, and well-engineered software, data workflows, and data science-focused solutions that enrich research productivity, reliability, and reproducibility.
Participate in short- to long-term projects.
Consult with researchers across disciplines to deeply understand their software and data needs and to identify and explain solutions.
Offer a wide range of related training workshops.
Help bring a mature project management approach to research software work on campus, contributing toward software design and project planning and tracking.
Write code to automate cloud account management, such as provisioning new cloud accounts.
Work with researchers to adapt existing workflows to cloud environments.
Provide technical expertise and insight to teams and projects alongside research programs.
Collaborate across multiple units in the Division of IT and the University.
Help researchers navigate the tools, processes, and services available to them.
May be required to work evenings, nights, weekends, or different shifts for extended periods.
Some periods of time may be spent in computer room and communications equipment spaces for installation, testing, and troubleshooting.
Some work (less than 5%) requires moving and lifting of heavy computing equipment.