The company is developing core technology for ocean energy systems that must operate in extreme marine environments for years without human maintenance. They need a Data Engineer to support the development of these clean energy technologies by building and maintaining data analysis and simulation pipelines, processing engineering datasets, and contributing to internal software.
Requirements
- Proficiency in Python and familiarity with key data analysis libraries (e.g., NumPy, pandas, matplotlib)
- Experience writing clean, well-structured code for scientific or engineering problems
- Familiarity with software development best practices including version control (e.g., Git) and modular code design
- Ability to interpret and work with structured datasets from simulations or experiments
- Experience with CFD tools such as OpenFOAM, Star-CCM+, or ParaView for post-processing
- Exposure to scientific computing workflows including simulation automation or batch processing
- Familiarity with HPC environments, Linux-based systems, and bash or Python scripting for automation
Responsibilities
- Develop and maintain data analysis tools to support engineering design, simulation, and testing workflows
- Clean, process, and analyze large datasets from CFD simulations, experiments, and field deployments
- Write modular, well-documented code in Python to automate repetitive or computational workflows
- Assist in the development of internal software used for simulation pipeline orchestration and post-processing
- Support post-processing of CFD results using tools such as OpenFOAM, Star-CCM+, and ParaView
- Work with HPC or cloud compute environments to run and manage large simulation or data processing jobs
- Contribute to the development of internal documentation, best practices, and reusable analysis scripts
Other
- Legal authorization to work in the United States.
- Strong analytical and problem-solving skills with attention to detail
- Excellent collaboration and communication skills within technical teams
- Self-motivated with a desire to learn and take ownership of tasks in a fast-paced environment
- Occasional extended hours or weekend work to support key milestones.
