Data Visualization Engineer (Remote)

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

We are hiring for one of our clients seeking a Scientific Visualization Engineer with deep expertise in ParaView 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.

Role Overview

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 ParaView scripting, parallel processing, and high-performance computing environments.

Key Responsibilities

• Develop advanced visualization workflows using ParaView
• Process and visualize large-scale CFD and FEM datasets
• Build custom filters and automation scripts using Python and ParaView 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

Required Qualifications

• Deep expertise in ParaView 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

Preferred Qualifications

• Experience integrating ParaView 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

Ideal Candidate Profile

• 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

Engagement Details

• Independent contractor engagement
• Fully remote
• Flexible scheduling
• Compensation commensurate with experience and project complexity
• Project duration may vary based on business needs

Equal Opportunity Statement

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

Apply Now !