Senior Database Engineer
kWh Analytics - San Francisco, CA

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Want to help create the technology enabling a brand new, solar asset class?

About us:
kWh Analytics makes solar affordable for all by attacking solar's biggest problem: The high cost of capital. We enable investors to confidently deploy more capital with lower risk, by applying Big Data analytics to the largest independent aggregation of solar asset data. We were recently recognized in the WSJ, The Atlantic, and Scientific American, and received a prestigious DOE SunShot award for $450,000. We're an extremely small, effective team looking for a senior database engineer.

Candidate background:
Must be comfortable with nix. Knowledge of a modern language such as C++, Java, or Python is required. The ideal candidate will be comfortable with data-intensive distributed applications such as Apache Hadoop or a similar MapReduce implementation. A background in mathematical modeling or machine learning is desired.

Our team:
[1] Founding team member of McKinsey's solar practice in 2007
[2] PhD Data Scientist with CFD background
[3] PhD Data Scientist with computational neuroscience background
[4] Former Director Sales/Marketing for HedgeWorld (sold to Thomson Reuters)
[5] Former CEO of Experian (board advisor)

If interested, please send a CV with 2-4 sentences summarizing your background & reason for interest. We'll interview applications on an ongoing basis until we fill the spot.