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Research Engineer II – Data Visualization Agency

Texas A&M University System Offices, Department Bush Combat Development Complex

Bryan, Texas

Staff

Salary: $4,617.67 - $7,916.67 per month commensurate with experience.

The Research Engineer II – Visualization Analytics Engineer independently applies scientific, software engineering, and data analytics expertise to develop advanced visualization, analytics, and decision-support capabilities supporting the George H.W. Bush Combat Development Complex (BCDC). Reporting to the Networks, Analytics & Data Operations (NADO) Unit Lead, this position transforms complex research, test, and operational data into intuitive visual products that accelerate analysis and improve decision-making for researchers, test directors, and external sponsors. The Visual Analytics Engineer collaborates with multidisciplinary teams across the BCDC, Innovation Proving Grounds (IPG), Ballistics, Aero-Optics & Materials (BAM), Texas A&M System organizations, government agencies, industry partners, and universities to design, develop, and deploy modern visualization and analytics solutions supporting experimentation, digital engineering, autonomy, AI/ML, and advanced test and evaluation.

• Design and develop interactive data visualization applications supporting research, experimentation, and operational test events.
• Transform complex engineering, scientific, sensor, and telemetry datasets into intuitive visual products for technical and executive audiences.
• Develop dashboards and analytical applications using modern visualization frameworks including Plotly Dash, Tableau, Power BI, D3.js, Grafana, or equivalent technologies.
• Design visual interfaces supporting real-time monitoring of research experiments, instrumentation systems, autonomous platforms, and range operations.
• Collaborate with research engineers to understand scientific objectives and translate analytical requirements into visualization solutions.
• Develop automated data pipelines supporting ingestion, cleaning, transformation, and visualization of structured and unstructured data.
• Support visualization of machine learning outputs including model performance, feature importance, confidence metrics, clustering, classification, and anomaly detection.
• Integrate visualization capabilities into software applications, APIs, databases, cloud platforms, and edge computing environments.
• Develop web-based tools enabling researchers to explore, filter, compare, and analyze experimental data.
• Create geospatial visualization products supporting test range operations, mobile platforms, and distributed sensing.
• Participate in verification and validation activities to ensure data integrity and visualization accuracy.
• Support post-test analysis by developing reports, interactive replay tools, and analytical products.
• Document visualization architectures, workflows, software, and technical procedures.
• Mentor student researchers, interns, and junior engineers.
• Support field testing and experimentation activities as required.
• Perform other duties as assigned.

• Bachelor's degree in Computer Science, Data Science, Computer Engineering, Software Engineering, Electrical Engineering, or related STEM discipline, or equivalent combination of education and experience.
• Two years of progressively responsible experience in data visualization, scientific computing, software engineering, analytics, or related research.
• Must be able to gain and maintain a DoD (Department of Defense) security clearance.
• Experience developing software using Python.
• Experience in querying relational databases using SQL.
• Creation of technical visualizations or analytical dashboards (such as with Plotly Dash, Tableau, Power BI, D3.js, Grafana or similar tools.
• Strong Communication skills, including the ability to translate technical results from non-technical audiences.
• Ability to produce publication-quality graphics, present finding and collaborate with multidisciplinary teams.
• Ability to support field operations in varying environmental conductions.
• Willing and able to travel occasionally.
• Ability to multi-task and work cooperatively with others.
• Proficiency with Git version control and REST APIs.
• Experience working in Linux and Windows development environments.
• Understanding of data engineering concepts, including data transformation pipelines, structured and semi-structured data (CSV, JSON, XML), and database design fundamentals.
• Experience with Pandas and NumPy.
• Understanding of object-oriented programming, software development lifecycle, testing and debugging, documentation, and Agile development practices.
• Knowledge of statistical analysis, machine learning fundamentals, model evaluation, data exploration, pattern recognition, and time-series analysis.
• Experience with AI/ML visualization (e.g., model performance, feature importance, clustering, anomaly detection).
• Experience with computer vision.
• Experience with geospatial information systems (GIS) and geospatial visualization.
• Experience with ROS/ROS2.
• Experience with RabbitMQ, Kafka, MQTT, DDS, or similar messaging/streaming technologies.
• Experience with digital engineering or digital twins.
• Experience with scientific visualization tools and methods.
• Experience with NVIDIA CUDA or GPU computing.
• Experience with Docker or Kubernetes containerization and orchestration.
• Experience developing web applications using JavaScript or TypeScript and applying UX/UI design principles.
• Experience with network visualization and sensor fusion.
• Experience with real-time streaming analytics and time-series databases.
• Experience visualizing telemetry from autonomous platforms and sensors.
• Experience supporting live experimental/test events or operational test and evaluation environments.
• Experience working with large-scale scientific datasets.
• Experience producing research publications, technical reports, or documentation.
• Experience integrating visualization solutions with cloud or edge analytics.
• Experience with data acquisition systems.
• Experience in defense research or test environments.
• Experience mentoring students, interns, or junior engineers.
• This is a security-sensitive position and is restricted to U.S. citizens only.
• Only complete applications will be considered for employment at The Texas A&M System Offices. Incomplete job application data could result in your application being rejected without an option to reapply.
• A cover letter and resume may be required in addition to a completed employment application.
• All positions are security-sensitive.
• Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.

• Experience developing software using Python.
• Experience in querying relational databases using SQL.
• Creation of technical visualizations or analytical dashboards (such as with Plotly Dash, Tableau, Power BI, D3.js, Grafana or similar tools.
• Strong Communication skills, including the ability to translate technical results from non-technical audiences.
• Ability to produce publication-quality graphics, present finding and collaborate with multidisciplinary teams.
• Ability to support field operations in varying environmental conductions.
• Willing and able to travel occasionally.
• Ability to multi-task and work cooperatively with others.

• Proficiency with Git version control and REST APIs.
• Experience working in Linux and Windows development environments.
• Understanding of data engineering concepts, including data transformation pipelines, structured and semi-structured data (CSV, JSON, XML), and database design fundamentals.
• Experience with Pandas and NumPy.
• Understanding of object-oriented programming, software development lifecycle, testing and debugging, documentation, and Agile development practices.
• Knowledge of statistical analysis, machine learning fundamentals, model evaluation, data exploration, pattern recognition, and time-series analysis.
• Experience with AI/ML visualization (e.g., model performance, feature importance, clustering, anomaly detection).
• Experience with computer vision.
• Experience with geospatial information systems (GIS) and geospatial visualization.
• Experience with ROS/ROS2.
• Experience with RabbitMQ, Kafka, MQTT, DDS, or similar messaging/streaming technologies.
• Experience with digital engineering or digital twins.
• Experience with scientific visualization tools and methods.
• Experience with NVIDIA CUDA or GPU computing.
• Experience with Docker or Kubernetes containerization and orchestration.
• Experience developing web applications using JavaScript or TypeScript and applying UX/UI design principles.
• Experience with network visualization and sensor fusion.
• Experience with real-time streaming analytics and time-series databases.
• Experience visualizing telemetry from autonomous platforms and sensors.
• Experience supporting live experimental/test events or operational test and evaluation environments.
• Experience working with large-scale scientific datasets.
• Experience producing research publications, technical reports, or documentation.
• Experience integrating visualization solutions with cloud or edge analytics.
• Experience with data acquisition systems.
• Experience in defense research or test environments.
• Experience mentoring students, interns, or junior engineers.

This is a security-sensitive position and is restricted to U.S. citizens only. Only complete applications will be considered for employment at The Texas A&M System Offices. Incomplete job application data could result in your application being rejected without an option to reapply. A cover letter and resume may be required in addition to a completed employment application. All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.

The Texas A&M University System is one of the largest systems of higher education in the nation, with a statewide network of twelve universities, eight state agencies, a comprehensive health science center, Texas A&M-Fort Worth and Texas A&M-RELLIS. The A&M System is committed to providing an educational and work environment that is conducive to the personal and professional development of each employee. Each member institution provides equal opportunity and access to all students, employees and prospective employees.

The Texas A&M System is an Equal Opportunity/ Veterans/ Disability Employer.

External Applicants - Applicants not currently employed by a Texas A&M System member may Search Postings and apply for positions within one or more A&M System members by selecting the job posting.

Internal Applicants - This site lists job postings throughout The Texas A&M University System. It is intended for applicants not currently employed by a member of the system. Current employees should apply for jobs on the Internal Career site.