Lead Data Engineer

Leap · Remote (USA)

Engineering
Public Infrastructure
Posted 3 months ago

Data Science
Machine Learning
Claim this company
About Us
 
Leap’s mission is to combat climate change by enabling a reliable electric grid that runs on clean energy. The electric grid is transforming from dirty (but predictable) fossil fuels to clean (but less predictable) renewable energy. To do so, the grid needs more flexible demand and supply to help maintain stability and reliability.
 
Leap plays a crucial role in opening up wholesale energy markets to all distributed energy resources, enabling our partners to get paid for providing flexibility to the grid. 
 
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 Atlanta, Boston, Boulder, Chicago, Maui, and Washington, DC.
 
Who are we looking for?
 
We’re seeking a creative and driven hands-on individual who will be responsible for leading the data engineering team. Besides being a data engineer on the team, you're also involved in determining the prioritization, scoping things, reporting back to the business, and managing the team.
This 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
    • Some experience in leading a team
    • Interested in people management

You may be a fit for this role if you:

    • Good at building up data infrastructure quickly while still managing technical debt
    • 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?

      • Work with the team to prioritize efforts and deliver the data to the relevant stakeholders
      • Building data pipelines of e.g. electric meter data, from ingestion to storage to displaying real-time metrics
      • Increasing data availability, discovery and lineage in 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
 

Not sure if you are qualified?

    • Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women tend to only apply only when they check every box. If you feel energized by our mission and would like to use your first-class talent to accelerate the growth of Leap but don't necessarily meet every single point on the job description, please still apply. We'd love to receive your application and see if you could be a great fit.
 
 
What’s it like to work at Leap?
 
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.
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