Leap’s mission is to stop climate change by creating the demand flexibility required to have a reliable electric grid that runs on clean energy. The electric grid is transforming from a model based on dirty (but largely predictable) fossil fuel generation to one that relies on clean (but often less predictable) renewable generation. As the grid absorbs all of this new variable energy, it will need more flexible demand and supply to help maintain stability and reliability.

Leap’s marketplace unlocks access to the wholesale energy markets for IoT-connected distributed energy resources, enabling our partners to get paid for providing flexibility to the grid. Our platform connects market-pricing signals with the end-customers’ ability to shift load. We act as an aggregator of aggregators and partner with some of the best-known and most innovative players in clean energy and IoT. Working with these partners, we’ve helped a variety of new resources (think batteries and electric vehicles, but also irrigation pumps, smart thermostats, food processing centers and commercial refrigeration, to name a few) earn revenue by helping to balance the grid, smoothing the path for more renewable energy to come online.

Leap is a privately-held tech company with funding from top VCs and well-known energy entrepreneurs. Our core operations are in the San Francisco Bay Area and Utrecht (NL), but we are a distributed workplace with teammates based in Boston, Boulder, Maui, and Washington, DC

We’re seeking a creative and driven individual who will be responsible for designing, implementing, and maintaining data pipelines and our data lake infrastructure. This medior/senior position is essential for helping Leap to grow our business in existing and new markets.

Required:

• Have 3+ years of experience working with PySpark 
• Or have 3+ years of experience designing and maintaining a data lake

You may be a fit for this role if you:

• Love to design and build data pipelines, using the most pragmatic tools that fit with our current infrastructure and data science goals  
• Are proactive in anticipating future needs based on the current workflows 
• Enjoy working with data scientists, developers and other stakeholders in bringing pipelines to production -- whether they’re machine learning based or simple analysis pipelines
• Having experience is definitely a plus, but willingness to learn and innovate is a must

What will you be working on?

• Building data pipelines of e.g. electric meter data, from ingestion to storage to displaying real-time metrics
• Designing and implementing infrastructure to support our data lake  
• Work with back-end and front-end developers to ensure that the pipelines can scale with our business
• Closely collaborate with data scientists to develop a workflow where machine learning and analytics can be performed seamlessly on the most up-to-date data 
• Work with the team to productionize modeling efforts and deliver the analyses to the relevant stakeholders

Product: At our core we are a tech company. We love technical challenges and build things that we are proud of and would like to use ourselves. Everyone is highly involved in building and designing our products, making them extremely valuable and a pleasure to use.

Purpose: Some of us worked in energy before, some of us haven’t. All of us would like to make a difference and do our part in helping the world move towards a more resilient grid run on renewable energy.

Fun: We work hard, but enjoy our time at work as well as outside of work. With the team spread out over multiple time zones we also embraced flexibility early on, and are focused on results instead of time spent in the office.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.