Software Engineer - Quant/Big Data
The Climate Corp. - San Francisco, CA

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The Climate Corporation’s mission is to help all the world’s people and businesses manage and adapt to climate change. To achieve our mission, we have built a unique technology platform to enable, for the first time, the real-time pricing and purchasing of customizable weather insurance. Managing over 200 TB of data, including 34 trillion+ weather simulation data points, 150 billion soil type observations, and more than 3 million daily weather measurements, we are one of the largest users of Amazon Web Services.

The Climate Corporation is focused on the enormous challenge and opportunity of protecting the $3 trillion global agriculture industry from the financial impact of adverse weather – the cause of over 90 percent of crop loss – with fully automated weather insurance products. We are also building web and mobile applications that unleash the power of our unique data and analyses to help farmers manage their daily work with field-level weather and crop insights.

At The Climate Corporation, leaving a mark on the world is in our DNA; we want to make a lasting and meaningful real-world impact. We relish big problems because they are the most interesting to tackle, the most rewarding, and typically, the most valuable to solve. We also thrive on finding the possible in the impossible.

If you are the best at what you do, you like solving interesting problems, and you are looking for like-minded people dedicated to having a major impact on the world, we are eager to talk with you.

See our video about what it’s like to work at The Climate Corporation:

Software Engineer, Quant/Big Data

We are looking for a Software Engineer to develop scalable, fault-tolerant geospatially driven data products around our expanding collection of data sets, including weather measurements, agricultural models, geological surveys, satellite images, and climate model outputs. This is a unique opportunity to contribute to something truly new and useful: technology that enables people to quantify and visualize location-specific weather risks everywhere on Earth.

What you will do:

Develop and refine scalable, fault-tolerant services for terabytes of geo-spatial and other data
Automate data pipelines to model, process, manage and visualize data from diverse sources
Implement efficient algorithms for diverse and challenging applications
Work with world-class machine-learning and big data research scientists to deliver features in a fast-paced, iterative, test-driven development environment
Contribute to strategically valuable open-source projects

What you bring to the table:

Degree in CS or related technical field, or equivalent
Expert knowledge of at least one compiled language (preferably Java) with extra credit for Clojure and/or Python
Proficiency in Unix/Linux environment
Experience building scalable, fault-tolerant systems for large data storage and processing in a production environment
Expert knowledge of data structures and algorithms for large-scale machine learning: you ought to be comfortable at a whiteboard discussing topics like stochastic gradient descent in MapReduce, locality-preserving hashing, and R-tree spatial joins
Effective all-around engineer who writes well-structured, easily maintainable, well-documented code
Self-motivated team player who takes pride in building reliable, powerful, elegant systems that make users happy!

Bonus points:

Experience with Amazon Web Services (EC2, S3, SQS, etc.)
Experience working on backend technology for mapping services
Domain expertise in weather and/or agriculture
Frequent contributor to open-source projects
Experience with functional programming in a production environment

What We Offer:

A driven, motivated, and talented team that aims to make a large-scale impact through innovative technology
Energetic, idea-driven work environment with an exciting culture
Exciting world-changing opportunity - we are solving problems that have massive impacts on the world
Competitive salary, stock options and great benefits

Follow us on Twitter @ClimateCorpEng

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