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Research Data Engineer

Job in Bozeman, Gallatin County, Montana, 59772, USA
Listing for: Montana State University - Office of Student Engagement
Full Time position
Listed on 2026-08-22
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Engineering
Salary/Wage Range or Industry Benchmark: 90000 USD Yearly USD 90000.00 YEAR
Job Description & How to Apply Below

Position Details

Position Information

Announcement Number STAFF - VA - 26465 For questions regarding this position, please contact:

Dr. Ann Marie Reinhold

reinhold

Classification Title Research Scientist and/or Research Engineers Working Title Research Data Engineer Brief Position Overview

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.

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.

Position Number 4C0184 Department Gianforte School of Computing Division College of Engineering Appointment Type Professional Contract Term Fiscal Year Semester If other, specify From date If other, specify End date FLSA Exempt Union Affiliation Exempt from Collective Bargaining FTE 1.0 Benefits Eligible Eligible Salary $90,000 annually, commensurate with experience, education, and qualifications Contract Type LOA If other, please specify Recruitment Type Open

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 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.
Required Qualifications – Experience, Education, Knowledge & Skills
  • 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.
  • audiences – from the lay person to specialized audiences.
  • 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.
Preferred Qualifications – Experience, Education, Knowledge & Skills
  • 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 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
  • Sel…
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