Research Engineer II - Data Visualization

Texas A&M University System; Bryan (TX); On-site; USD 52,000 - 88,000; Full time

Job summary

The Texas A&M University System Offices in Bryan, TX invites applications for a Research Engineer II – Visualization Analytics Engineer. You will transform complex research and test data into intuitive visual products and dashboards to accelerate analysis for researchers, test directors, and sponsors.

You will collaborate across multidisciplinary teams to design, develop, and deploy visualization solutions supporting experimentation, AI/ML, and digital engineering.

Qualifications

• Bachelor's degree in a STEM field or equivalent experience.
• Minimum two years of data visualization, software engineering, or analytics experience.

Responsibilities

• Design and develop interactive data visualization applications.
• Transform datasets into visual products for technical and executive audiences.
• Develop dashboards using modern visualization frameworks.
• Collaborate with researchers to translate objectives into visualization solutions.
• Develop automated data pipelines for ingestion, cleaning, transformation, and visualization.
• Support visualization of ML outputs and model performance.
• Integrate visualization into software apps, APIs, and cloud/edge environments.
• Create web-based tools for exploring experimental data.
• Create geospatial visualization products for range operations.
• Mentor student researchers and junior engineers.
• Participate in field testing and verification activities.
• Document architectures, workflows, and procedures.
• Travel occasionally.

Skills

Python

SQL

Plotly Dash

Tableau

Power BI

D3.js

Grafana

Git

Linux

NumPy

Pandas

REST APIs

Visualization design

Education

Bachelor's degree in STEM

2 years data viz/software eng experience

Tools

Docker

Kubernetes

SQL databases

GIS tools

Job description

Job Title

Research Engineer II - Data Visualization

Agency

Texas A&M University System Offices

Department

Bush Combat Development Complex

Proposed Minimum Salary

Commensurate

Job Location

Bryan, Texas

Job Type

Staff

Salary

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

Job Description

The System Offices is one of several system members within the Texas A&M University System representing one of the largest systems of higher education in the nation, with a network of 12 universities, a comprehensive health science center, eight state agencies, Texas A&M – Fort Worth and the Texas A&M - RELLIS Campus. The Texas A&M University System mission is to provide education, conduct research, commercialize technology, offer training, and deliver services for the people of Texas and beyond.

The System Offices, within the Texas A&M University System, provides an outstanding benefits package including, but not limited to: competitive health benefits; paid vacation, sick leave, and 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; and wellness programs to promote work/life balance.

Job Description Summary

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.

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.

Qualifications

• 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.

Registration, Certifications, And Licenses

• Must be able to gain and maintain a DoD (Department of Defense) security clearance.

Knowledge, Skills, And Abilities

• 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.

Preferred Qualifications

• 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.

Other Requirements

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.