Job Overview
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Job Description
Data Visualization Engineer (Remote)
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
Key skills/competency
- ParaView
- Scientific Visualization
- Python Scripting
- CFD (Computational Fluid Dynamics)
- FEM (Finite Element Method)
- HPC (High-Performance Computing)
- Parallel Processing
- Large-scale Data
- Data Analysis
- Documentation
How to Get Hired at North Star Staffing
- Research North Star Staffing's clients: Study their typical projects, scientific domains, and the types of research initiatives they support to align your expertise.
- Tailor your resume for visualization roles: Highlight your deep expertise in ParaView, strong Python scripting, and experience with large-scale scientific data like CFD/FEM.
- Showcase your visualization portfolio: Prepare a robust portfolio demonstrating your ability to transform complex datasets into clear, publication-quality visual outputs.
- Prepare for technical visualization questions: Be ready to discuss advanced visualization pipeline design, parallel processing, and your experience in HPC environments.
- Emphasize remote work suitability: Highlight your experience working independently, strong communication skills, and ability to manage projects remotely in research settings.
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