Research Software and Data Engineer

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

Job Description Summary This position is available within the University of Maryland’s Division of Information Technology (DIT). Overview: 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.

Primary Responsibilities

The Research Software and Data Engineer's primary responsibilities will be to 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. The engineer will be part of short- to long-term projects. The work will also include consulting with researchers across disciplines in order to deeply understand their software and data needs and to identify and explain solutions.

Additional Responsibilities

The Research Software and Data Engineer will work with other team members to offer a wide range of related training workshops and to help bring a mature project management approach to research software work on campus, contributing toward software design and project planning and tracking. The Engineer will also write code to automate cloud account management, such as provisioning new cloud accounts. The Engineer will work with researchers to adapt existing workflows to cloud environments. As a Research Computing team member, they will provide technical expertise and insight to teams and projects alongside research programs, collaborate across multiple units in the Division of IT and the University, and help researchers navigate the tools, processes, and services available to them.

Licenses/Certifications

N/A

Minimum Qualifications Education

Bachelor’s degree from an accredited college or university.

Experience

Three to five years experience working in software and data engineering environments.

Other

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 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.

Additional Job Details Preferences

• 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

Benefits Summary

For more information on Regular Exempt benefits, select this link.

Background Checks

Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.

Employment Eligibility

The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.

EEO Statement

The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University’s Equal Employment Opportunity Statement of Policy.

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The University works hard to make its websites accessible to any and all users. If you need assistance completing the application process, please contact us at one of the below options: Email: [e-mail] Phone: [phone] Maryland Relay: Dial 711 This contact information cannot be used to inquire about application status.

Department DIT-EE-Research Computing Worker Sub-Type Staff Regular Salary Range $105,800 - $126,960

University Description

The University of Maryland, College Park is the state's flagship university and one of the nation's preeminent public research universities. A global leader in research, entrepreneurship and innovation, the university is home to more than 40,700 students, 14,000 faculty and staff, and 388,000 alumni all dedicated to the pursuit of Fearless Ideas. Located just outside Washington, D.C., we discover and share new knowledge every day through our renowned research enterprise and programs in academics, the arts and athletics. And we are committed to social entrepreneurship as the nation’s first “Do Good” campus.