Research Data Engineer

Overview

Join a fast-moving, high-impact research environment where data scientists work with real-world datasets, cutting-edge infrastructure, engineering teams to push the boundaries of data science, analytics, and cyber intelligence. If you thrive on solving hard problems, publishing meaningful work, and creating technologies that matter beyond the lab, this is an opportunity to lead innovation rather than simply follow it.

• 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 Git Hub and Maven, to maintain and deploy software solutions.
• Communicate technical results and insights effectively to multidisciplinary teams, including both technical and non-technical stakeholders.

• Master’s Degree in a STEM related field.
• Demonstrable ability to write code, analyze data, and create graphical reports in air-gapped systems without any use of AI.
• Proven track record of working successfully with minimal oversight for long periods of time without internet access.
• Proven track record of delivering high-quality work on time.

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

• Executive presence and 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.

This individual must be able to obtain and maintain a Top Secret DOD Security Clearance.

Compliance with federally mandated U.S. export control laws may require proof that the candidate is a U.S. person. Per 22 CFR 120.15, a U.S. person means a person who is a lawful permanent resident or a protected individual as defined by 8 U.S.C. 1101(a)(20) or 8 U.S.C. 1324b(a)(3).

Position is contingent upon continued grant funding.

Eligible. Salary $90,000 annually, commensurate with experience, education, and qualifications.

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.

Applications will be screened beginning July 14th 2026 and continue to be accepted until an adequate applicant pool has been established.

Required documents:
Resume, Cover Letter.