Data Visualization Engineer; Remote

• Title: Data Visualization Engineer (Remote)
• Location : (Remote)
• Compensation: $50 – $150 per hour

We are hiring for one of our clients seeking a Scientific Visualization Engineer with deep expertise in Para View to support large‑scale computational research initiatives.

This role focuses on transforming complex simulation datasets into high‑quality, publication‑ready visualizations that support scientific analysis, interpretation, and communication.

You will design and implement advanced visualization pipelines to process and interpret large‑scale simulation data (CFD, FEM, and related domains). The position requires strong experience with Para View scripting, parallel processing, and high‑performance computing environments.

• Develop advanced visualization workflows using Para View
• Process and visualize large‑scale CFD and FEM datasets
• Build custom filters and automation scripts using Python and Para View macros
• Apply parallel processing techniques for high‑performance rendering
• Collaborate with scientists and engineers to translate analytical requirements into visual outputs
• Produce publication‑quality scientific visualizations
• Document workflows to ensure reproducibility and knowledge transfer
• Stay current with developments in scientific visualization tools and techniques

• Deep expertise in Para View and scientific visualization pipelines
• Strong Python scripting skills for automation and customization
• Experience working with large‑scale simulation data (CFD, FEM, multiphysics, or similar)
• Familiarity with HPC or distributed computing environments
• Ability to generate clear, accurate, and technically rigorous visual outputs
• Strong documentation and communication skills
• Bachelor’s or Master’s degree in Computer Science, Engineering, Physics, Applied Mathematics, or related field

• Experience integrating Para View with custom scientific software stacks
• Background in scientific computing or numerical methods
• Familiarity with open‑source visualization ecosystems
• Experience contributing to research publications or technical reports

• Comfortable working with large, complex datasets
• Detail‑oriented with strong analytical thinking
• Able to work independently in remote research environments
• Experience supporting academic, national lab, or advanced industrial research teams
• Fully remote
• Compensation commensurate with experience and project complexity
• Project duration may vary based on business needs

All qualified applicants will be considered without regard to legally protected characteristics. Reasonable accommodations are available upon request.