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Research Engineer II - Data Visualization

Job in Bryan, Brazos County, Texas, 77808, USA
Listing for: Texas A&M
Full Time position
Listed on 2026-09-08
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Engineering
Salary/Wage Range or Industry Benchmark: 4617 - 7916 USD Monthly USD 4617.00 7916.00 MONTH
Job Description & How to Apply Below

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.
  • S
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