Digital H2O, a water-focused SaaS company, is looking for talented software engineers to join our Data Platform team in building products to solve the challenge of sustainably managing, monitoring, and forecasting water supply and demand in cost-effective ways.
Digital H2O offers an agile work environment where you can have a large impact on the direction and success of the company. As a Senior Software Engineer you are given the opportunity to own products and features from start to finish, design to delivery, using the best tools for the job at hand. In return we offer a competitive salary, full health benefits, 401K matching, annual bonuses, relocation assistance, a generous paid vacation policy, and more.
There are many products a Senior Software Engineer has the opportunity to help us build, including:
- Our water market intelligence platform using Python, MongoDB, Pandas, AWS, and more to build a comprehensive view into the world of water demand and supply
- Water forecasting and modeling analytics using Python, Scikit-Learn, and proprietary machine learning techniques
- Customer-facing Data APIs powered by NodeJS, Python, PostgreSQL, and AWS
- Platform designed for receiving and analyzing real-time industrial water data from field deployed remote monitoring sensors
- New products from the ground up
A strong fit for this position will have most of the following:
- Significant software development experience and language familiarity (Python is our primary language but we believe talented engineers can quickly learn new languages)
- Comfort and familiarity with at least one SQL or NoSQL database
- Experience with developing and consuming web services and SaaS products
- Strong collaboration and communication skills to work in a fast-paced, entrepreneurial environment
Other things we would love to see:
- 3+ years professional experience
- Experience scaling data and infrastructure to one, to ten, to hundreds of terabytes, and beyond
- Familiarity with Amazon AWS
- A love of Pandas, NumPy and other Python data packages
- A degree in computer science, statistics, environmental science, or related STEM field
- An ambition for solving complex problems while working both autonomously and with a team
Interested in on-site or remote candidates. Email wcleveland ( a t ) digitalh2o.com to apply!
