Position title: Research Software and Data Engineer
Position #: JR104853
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.
**This position is considered essential 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 emergency to help maintain
the continuity of University services.**
**May be required to work evenings, nights, weekends, or different shifts for extended
periods.**
Physical Demands: Predominantly operates in an office environment. 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.
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
* Required Application Materials: Resume,
Cover Letter, List of References
- Best Consideration Date: September 23, 2026.
- Salary Range: $105,800 -
$126,960
Remote Work:
Please note that all positions within the Division of Information Technology (DIT) have an in person component with expected time in our
College Park, MD location per week. Telework is not a guaranteed work arrangement.
Visa Sponsorship Information: DIT will not
sponsor the successful candidate for work authorization in the United States now or in the future. F1 STEM OPT support is not available for
this position.
Job Risks: Not Applicable to This Position
Financial Disclosure Required: No. For more
information on Financial Disclosure, please visit Maryland's State Ethics Commission website.
Department:
DIT-EE-Research Computing
Worker Sub-Type: Staff Regular
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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