Research Engineer II - Data Visualization

Texas A&M University System • Bryan, TX

4d • $4,618 - $7,917 • Onsite

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• competitive health benefits
• paid vacation
• sick leave
• holidays
• a defined benefit retirement plan to include an employer contribution through Teachers Retirement System of Texas (TRS)
• if applicable, a defined contribution retirement plan to include an employer contribution through an approved ORP vendor
• additional voluntary tax deferred annuity (TDA) options
• tuition assistance
• wellness programs to promote work/life balance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level