Research Engineer II - Data Visualization

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

Benefits offered by this job

Health benefits

Paid vacation

Sick leave

Holidays

Retirement plan (TRS)

Tuition assistance

Wellness programs

Job summary

Texas A&M University System Offices in Bryan seeks a Research Engineer II – Visualization Analytics Engineer to turn complex research and telemetry data into intuitive visual products for researchers and sponsors. You will design interactive dashboards and pipelines, collaborate across BCDC units, IPG, BAM, and partner institutions, and apply ML visualization to support experimentation and decision-making.

Experience with Plotly Dash, Tableau, Power BI, D3.js, Grafana preferred; strong

Qualifications

• Experience in building visualization solutions for research or experimental data.
• Ability to transform complex datasets into intuitive visual products for diverse audiences.
• Proficiency with modern visualization frameworks and dashboard tools.

Responsibilities

• Design and develop interactive data visualization applications supporting research and operational tests.
• Transform telemetry and sensor data into visual dashboards for technical and executive users.
• Develop dashboards using Plotly Dash, Tableau, Power BI, D3.js, Grafana, or equivalent.
• Design interfaces for real-time monitoring of experiments and range operations.
• Collaborate with researchers to translate analytical requirements into visualization solutions.
• Develop automated data pipelines for ingestion, cleaning, transformation, and visualization.
• Support visualization of ML outputs including model performance and anomaly detection.
• Integrate visualization capabilities into software applications, APIs, databases, cloud platforms, and edge computing environments.
• Create web-based tools allowing exploration and analysis of experimental data.
• Create geospatial visualization products for test ranges and distributed sensing.
• Participate in verification and validation to ensure data integrity.

Skills

Data visualization

Dashboard development

Data analytics

Cross-disciplinary collaboration

Software development

ML visualization

Tools

Plotly Dash

Tableau

Power BI

D3.js

Grafana

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

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.

Salary:

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

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.
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