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.

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