Research Data Engineer

Join a fast-moving, high-impact research environment where data scientists work with real-world datasets, cutting-edge infrastructure, and engineering teams to push the boundaries of data science, analytics, and cyber intelligence., General Statement The Software Engineering and Cybersecurity Lab (SECL), is a dynamic environment where you will tackle mission-critical problems at the intersection of data science, cybersecurity, and empirical software engineering-building state-of-the-art solutions that directly influence national security. Duties and Responsibilities

• Develop and optimize big data pipelines for storage, processing, and analysis of large-scale, high-frequency datasets.
• Design and implement data models, including relational databases, for efficient data storage, retrieval, and integration.
• Conduct time series analysis, including interpolation and aggregation of heterogeneous data streams.
• Apply software engineering principles, including object-oriented programming, networking concepts, and best practices in software design.
• Utilize Linux command-line tools to manage data workflows and processing tasks.
• Implement source code management and build tools, such as GitHub and MAVEN, to maintain and deploy software solutions.
• Communicate technical results and insights effectively to multidisciplinary teams, including both technical and non-technical stakeholders.

Successful candidate must be able to comply with the federally mandated requirements of U.S. export control laws, which may require proof that candidate is a U.S. person. Per 22 CFR §120.15, U.S. person means a person who is a lawful permanent resident as defined by 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3)., 1. Master’s Degree in a STEM related field.

1. Demonstrable ability to write code, analyze data, and create graphical reports in air gapped systems without any use of AI.
2. audiences - from the lay person to specialized audiences.
3. Proven track record of working successfully with minimal oversight for long periods of time without internet access.
4. Proven track record of delivering high-quality work, on-time.

Preferred Qualifications - Experience, Education, Knowledge & Skills

1. PhD in a STEM related field, strong statistics, analytical problem solving skills and software development.
2. Demonstrable mastery of data-product pipelines for integrating complex data streams.
3. Demonstrable mastery of the R programming language and applications for statistics, simulation, and data science workflows.
4. Demonstrable mastery of version control for complex workflows using Git.
5. 5-10 years of experience creating, maintaining, and updating complex relational databases. Mastery of SQL.
6. 5-10 years experiences preparing graphical, written, and oral presentations suitable for diverse

The Successful Candidate Will

• Executive presence and the ability to confidently communicate with senior leaders, government officials, and external stakeholders
• Strong teamwork mindset with a “mission-first” attitude and willingness to support others
• Humility and low ego in highly collaborative, interdisciplinary environments
• Transparency, integrity, and accountability in research, communication, and decision-making
• Excellent written and verbal communication skills for technical and non-technical audiences
• Adaptability and comfort operating in fast-paced, high-impact research settings
• Professionalism and discretion when working on sensitive or restricted projects
• Intellectual curiosity and a continuous-learning mindset
• Self-motivation and initiative with minimal supervision
• Reliability and follow-through on commitments and deadlines, To perform this job successfully, an individual must be able to perform each essential duty satisfactorily with or without reasonable accommodations. The requirements listed above are representative of the knowledge, skill, and/or ability required.

This position is contingent upon continued grant funding, Position End Date (if temporary) Open Date Close Date Applications will be: Screening of applications will begin on July 14th 2026 ; however, applications will continue to be accepted until an adequate applicant pool has been established. Special Instructions Successful candidate must be able to comply with the federally mandated requirements of U.S. export control laws, which may require proof that candidate is a U.S. person. Per 22 CFR §120.15, U.S. person means a person who is a lawful permanent resident as defined by 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). EEO Statement Montana State University is an equal opportunity employer. MSU does not discriminate against any applicant on the basis of race, color, religion, creed, political ideas, sex, sexual orientation, gender identity or expression, age, marital status, national origin, physical or mental disability, or any other protected class status in violation of any applicable law.

In compliance with the Montana Veteran’s Employment Preference Act, MSU provides preference in employment to veterans, disabled veterans, and certain eligible relatives of veterans. To claim veteran’s preference, please complete the veteran’s preference information located in the Demographics section of your profile.