Scoot Science is an ocean data analytics startup. We are a team of ocean scientists, software engineers, and agricultural economists. We're focused on quantifying the impact of climate change on ocean assets, particularly the coastal aquaculture industry. We're consolidating siloed and proprietary ocean data from aquaculture farms with the surrounding oceanographic and meteorological data to give ocean farmers the best insights and forecasts of how their local ocean conditions impact their crop. We're also leveraging that same in-situ ocean data to model the financial implications of increasingly frequent ocean perils associated with climate change (like marine heatwaves). Our goal is to use the best possible ocean modeling to unlock new forms of risk transfer and investment into traditionally overlooked and underserved ocean businesses.
Our team has doubled in size over the past year. We need more engineers to help build a completely novel ocean data management, visualization, and operational decision making tool.
You will have a huge impact on our company. We are a tight knit group that works hard and takes care of each other.
We are a team of domain experts. We have assembled a truly unique team that is passionate about the ocean and the impacts of climate change on ocean businesses. We are building the tools to help ocean businesses make REAL operational decisions.
Each member of the engineering team has a high degree of autonomy to design and implement new features. We do not employ strict sprint cycles and have space for creative development projects. We hold a weekly demo day and as needed feature specific collaborative coding sessions. We are always trying to improve our established software product, SeaState, as well as build out new functionality. We typically push to production on a regular cadence.
We work with a wide variety of data sources and types - from in situ ocean sensors, to manually entered farm data, to gridded model output. All of this data has geospatial and temporal significance. We need to allow our clients to inspect their ocean conditions at their farm, across neighboring farms, and around their larger regional geography. They also need to understand how their ocean conditions are changing year to year and adapt their operations as climate change accelerates.
As a Data Engineer at Scoot, you’ll be a generalist first and foremost working within a small team of experienced people. In this position you'll be responsible for helping build all components of data ingress and egress for production and internal systems. This includes everything from designing and evaluating system architectures to writing tests and identifying edge cases. Your work will support and scale existing products and contribute to the research and development of new products. With the rest of the engineering team, you’ll have a great deal of freedom and responsibility to define how the product works and how it is developed.
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Still interested but not quite an exact match?
We’re always looking for a motivated A+ generalist. Let us know how you think you could fit in at Scoot Science! We keep track of all applicants for future opportunities too.
Scoot Science is building a virtual window into the ocean for marine stakeholders through ocean data management, analysis, and forecasting. We give our customers a critical edge for marine operations, risk management, and long term planning, by combining the best available ocean and atmospheric data with in house analytics and visualization.
Santa Cruz, CA, United States