Data Visualization Specialist | Remote

Position: Scientific Visualization Engineer (ParaView) Type: Engineering Compensation: $50 - $150/hour Location: Remote Commitment: 10–40 hours/week Role Responsibilities • Develop and implement advanced visualization pipelines using ParaView to interpret and present simulation data • Process, analyze, and visualize large-scale CFD and FEM datasets, ensuring data quality and integrity throughout • Design and apply custom filters, scripting, and parallel processing techniques for high-performance visualizations • Collaborate with scientists, engineers, and other stakeholders to translate complex data requirements into clear visual representations • Produce publication-ready scientific visualizations tailored to research goals and analysis needs • Document workflows, best practices, and technical approaches for reproducibility and knowledge sharing • Stay up-to-date with the latest ParaView features, community tools, and trends in scientific visualization Requirements • Deep expertise in ParaView, including scripting (Python, ParaView macros) and advanced visualization workflows • Hands-on experience with large-scale simulation data (CFD/FEM) and domain-specific visualization techniques • Strong proficiency in parallel data processing and working with HPC or distributed computing environments • Demonstrated ability to produce high-quality, insightful visualizations for technical analysis and publication • Excellent written and verbal communication skills with a focus on clear documentation and cross-team collaboration • Solid problem-solving abilities, attention to detail, and an analytical mindset • Bachelor’s or Master’s degree in Computer Science, Engineering, Physics, Applied Mathematics, or a related field • Experience integrating ParaView with custom analysis tools or bespoke research software stacks • Background in scientific computing, numerical methods, or related computational sciences • Familiarity with open-source scientific visualization ecosystems and contributing to community initiatives Application Process (Takes 20 Mins) • Upload resume • Interview (15 min) • Submit form