Visualization Analytics Engineer II

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

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.