Data Engineer
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
Offer value
High value due to competitive compensation, chance to innovate in data-driven engineering, and working toward impactful renewable energy solutions.
- Compelling role in the renewable energy industry.
- Engagement with innovative data-driven engineering tasks.
- Requires solid programming and data analysis skills.
Pros
- Work in a pioneering renewable energy technology sector.
- Involvement with exciting data-driven engineering challenges.
- Opportunity to work with experienced teams in a rapidly growing field.
Cons
- Potential for intense workloads during peak development cycles.
- Requires a foundational knowledge of marine and data engineering.
- Job responsibilities may vary based on team needs.
Who it's for
Early to Mid • On-site role preferred; remote considered
Good fit
- Recent graduates in data science or engineering.
- Candidates enthusiastic about renewable energy initiatives.
- Individuals excited to contribute to technical advancement.
Not recommended for
- Candidates lacking relevant software development skills.
- Individuals preferring routine over dynamic work.
- Entry-level candidates without internship experience in the field.
Motivation fit
Key skills
About the job
About the Company
We are a renewable energy and ocean technology company committed to rapidly developing and deploying technologies that will ensure a sustainable future for Earth by unlocking the vast energy potential of its oceans. Our focus is on capturing civilizational levels of ultra-low-cost renewable energy for applications including computing and affordable renewable fuels delivered to shore.
The company is a public benefit corporation headquartered in Portland, Oregon, and backed by leading venture capitalists, philanthropic investors, university endowments, and private investment offices. We operate as an idea meritocracy in which the best ideas change the company’s direction on a regular basis.
About the Job
We are developing a core technology that will operate in the most extreme marine environments for years at a time without human maintenance or intervention. We are seeking a Data Engineer with strong software development skills to join our team developing next-generation ocean energy systems. You will work at the intersection of data analysis, simulation, and engineering—supporting the development of clean energy technologies designed to operate in some of the world’s most challenging marine environments.
In this role, you’ll help build and maintain data analysis and simulation pipelines, support R&D with tools to process and interpret engineering datasets, and contribute to internal software used by cross-functional teams. You’ll work closely with senior engineers and simulation experts, gaining exposure to real-world physics problems, computational tools, and large-scale scientific workflows.
This is an opportunity for an early-career engineer or developer who’s excited to contribute to a high-impact mission, write clean and maintainable code, and grow alongside experienced technical mentors.
Our staff have worked at organizations such as SpaceX, Blue Origin, Boeing, Tesla, Apple, Virgin Orbit, Google, Amazon, Microsoft, New Relic, Bridgewater, Raytheon, Disney Imagineering, and the US Army and Air Force, as well as research universities, startups, and small companies across a range of industries. We are organized as a public benefit corporation and are backed by leading venture capital firms, private investors, philanthropic investors, and endowments.
We strive to be the best engineering team on the planet and we compensate our team members accordingly.
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
- Collaborate with senior engineers to extract insights from simulation results and translate them into actionable design feedback
- 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
- Participate in code reviews, collaborative debugging sessions, and weekly team check-ins to share findings and progress
- Continuously learn new tools, frameworks, and domain-specific knowledge to grow within a fast-paced R&D team
Required Qualifications
- Legal authorization to work in the United States.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Physics, Applied Mathematics, or a related field
- 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
- 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
Preferred Qualifications
- 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
- Understanding of fluid dynamics, ocean engineering, or physics-based modeling
- Experience building or contributing to internal software tools for data analysis, simulation, or visualization
- Academic or internship experience involving simulation data pipelines or engineering R&D projects
The above qualifications are desired, not required. We encourage you to apply if you are a strong candidate with only some of the desired skills and experience listed.
Additional Requirements
- Occasional extended hours or weekend work to support key milestones.
- Strong preference for candidates based in Portland, OR. Exceptional remote candidates will be considered.
Compensation and Benefits
If hired for this full-time role, you will receive:
- Cash compensation of $110,000–$175,000.
- Equity in the company. We’re all owners and if we’re successful, this equity should be far and away the most valuable component of your compensation.
- A benefits package that helps you take care of yourself and your family, including:
- Flexible paid time off
- Health insurance (the company pays 100% of gold level PPO plan for full time employees, their partners, and dependents)
- Dental insurance (the company pays 33% for full time employees and 100% for their partners and dependents)
- Vision insurance (the company pays 100% for full time employees, their partners, and dependents)
- Disability insurance (the company pays 100% for a policy to provide long term financial support if you become disabled)
- Ability to contribute to tax-advantaged accounts, including 401(k), health FSA, and dependent care FSA
- Relocation assistance to facilitate your move to Portland (if needed).
Location
We have a strong preference for candidates based in Portland, OR as this is an in-office role. Our offices, lab and shop, are located in Portland, Oregon.
