Research Software & Data Engineer - Enable Reliable Science

Usmd; College Park (MD); On-site; USD 106,000 - 127,000; Full time

Job summary

The University of Maryland, College Park, Division of Information Technology (DIT) seeks a Research Software and Data Engineer to design, implement, and support research cyberinfrastructure, software, and data-facing solutions for researchers across disciplines.

The role involves collaborating with researchers, guiding data workflows, and contributing to training and project planning within a collaborative IT and research environment.

Qualifications

• Bachelor's degree from an accredited college or university.
• 3–5 years of experience in software and data engineering environments.
• Experience with data pipelines, ETL, and data workflows.
• Knowledge of machine learning frameworks: PyTorch, TensorFlow, JAX.
• Experience with Docker or similar container-based infrastructure.
• Proficiency in Julia, C/C++, FORTRAN, Python, and R.
• Strong problem solving and ability to communicate with diverse audiences.

Responsibilities

• Collaborate with researchers to design, plan, and implement secure, compliant software and data workflows for research.
• Develop data-facing solutions to improve research productivity, reliability, and reproducibility.
• Consult with researchers across disciplines to understand software and data needs and propose solutions.
• Provide training workshops and contribute to project management approaches in research software work.
• Automate cloud account provisioning and manage cloud environments for research projects.
• Work with IT teams and researchers to navigate tools, processes, and services.

Skills

Software development

Data engineering

Cloud computing

Research computing

Programming languages

Education

Bachelor’s degree

Tools

Docker

Job description

The University of Maryland, College Park, Division of Information Technology (DIT) seeks a Research Software and Data Engineer to design, implement, and support research cyberinfrastructure, software, and data-facing solutions for researchers across disciplines.

The role involves collaborating with researchers, guiding data workflows, and contributing to training and project planning within a collaborative IT and research environment.