Research Software & Data Engineer for Reproducible Science

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

Job summary

University of Maryland, College Park, in the Division of Information Technology, seeks a Research Software and Data Engineer to design and support cyberinfrastructure, software, and data-facing solutions for researchers. You will partner with researchers to plan, implement, and automate workflows that improve productivity, reliability, and reproducibility.

You will contribute to training, project planning, and cross-unit collaboration, while working across divisions to navigate tools and

Qualifications

• Bachelor’s degree required; three to five years in software/data engineering environments preferred.
• Experience with research computing technologies and data workflows is desirable.
• Experience with cloud platforms and security/compliance controls a plus.

Responsibilities

• Design, plan, and implement secure, compliant software and data workflows for researchers.
• Collaborate with researchers across disciplines to understand needs and explain solutions.
• Provide training workshops and contribute to software design and project planning.

Skills

Batch processing

Relational databases

Data pipelines/ETL

Data science tools

Machine learning frameworks (PyTorch,-

TensorFlow

JAX

Docker

GPU programming

Julia programming

C/C++

FORTRAN

Python

R

Cloud platforms

Version control/Collaboration

Education

Bachelor’s degree

Tools

Docker

Job description

University of Maryland, College Park, in the Division of Information Technology, seeks a Research Software and Data Engineer to design and support cyberinfrastructure, software, and data-facing solutions for researchers. You will partner with researchers to plan, implement, and automate workflows that improve productivity, reliability, and reproducibility.

You will contribute to training, project planning, and cross-unit collaboration, while working across divisions to navigate tools and