Careers
Data Science Engineer

About us

Weave Grid builds software to make it cheaper and safer for utilities to serve electric vehicles, add renewable energy resources, and save customers money. Our mission is to drive rapid decarbonization in the global transport and power sectors by intelligently connecting electric vehicles to the grid.

We are currently in market with early utility clients, and we must rapidly build and deliver product improvements to serve existing customers and win new deals from our deep pipeline. As a rapidly growing company, we are building a thoughtful, capable team that can adapt with our rapidly evolving circumstances.

Industry context

We are living through historic changes in the ways people use transportation — a sector that is now one of the largest and fastest-growing sources of greenhouse gas emissions.

Electric vehicle (EV) sales are growing at over 60% a year, with vehicle manufacturers spending billions to get ready for an electric future. Boston Consulting Group estimates EVs will account for over half of all vehicle sales by 2030. Electric utilities see massive opportunities in this transformation, as the rise of EVs could drive more growth in energy demand over the next 10 years than any decade since the 1950s.  

‍Larger EV fleets can also help support renewable energy sources on the grid. But to accommodate growth in EVs, utilities will need to make substantial investments in infrastructure and technology. Weave Grid's software helps meet the challenge of our transition to electrified transport.

Job description

WeaveGrid’s Core engineering team is responsible for our internal data services and products, which process, store, and combine data from many different sources. These systems underpin all of our products, and their quality and performance are central to our business.

We are searching for a Data Engineer to build, maintain, and improve the data processing pipelines that lie at the foundation of our products. This role will work closely with our data scientists to monitor and improve the quality of these pipelines. They will also collaborate with our infrastructure and backend engineers to improve our data infrastructure and scale our data capabilities across the board.

We are a small team, though growing fast. In addition to the specific responsibilities described here, we expect that this role will evolve as the company expands.

This role will
Implement and maintain data processing pipelines
Integrate new data sources into our pipelines
Work with data scientists to measure the quality of the output of these pipelines
Identify and implement changes that will improve data quality
Work with other members of the core and application engineering teams to expose processed data via internal services

About You

You are an experienced Data Engineer, ML Engineer, or data-leaning Backend Engineer. You have worked as part of a software engineering team, though you have focused on (or been primarily interested in) data rather than code. You view code primarily as a way to understand, manipulate, and get value out of data; at the same time, you understand that clean, well-designed code is the best way to achieve these goals.

Ideally, you have worked with transportation or energy data, although domain experience is not required.

You are not afraid of learning new approaches and technologies, and you understand that everyone on an engineering team, regardless of seniority, has something to offer and much to learn. You enjoy the collaborative aspects of software engineering, and you lean more toward “measure twice and cut once” than “move fast and break things”.

To meet the needs of this role, you will bring
Preferred
Expertise with pydata tools, especially pandas and numpy
Preferred
Experience working in Python-centric task frameworks like Celery, Dramatiq, or RQ
Preferred
Solid fundamentals in Python development more generally, including the ability to understand and contribute to existing codebases
Preferred
Basic SQL, sufficient to extract analytic datasets from data stores
Preferred
Strong software engineering fundamentals, including agile collaborative practices
Preferred
Experience with scikit-learn
Preferred
Experience developing APIs using Flask/FastAPI
Preferred
Transportation and/or energy domain experience
Skills
Preferred
SQL
Preferred
Python
Preferred
scikit-learn
Culture and Mission
Beyond your core skills and track record, you are someone who will expand the culture and cumulative wisdom of the team as a whole. This can take many forms - relevant past projects, hard-won perspective from personal history, an unusual or adjacent skillset, a motivating passion, and so on. We are whole individuals, not just functional role-fillers, and we value everything that you can bring to the team.
Finally, you should be strongly motivated by Weave Grid’s mission. Energy and transportation expertise are not necessary, but it is important that you are passionate about tackling the climate crisis head on, by improving societal and environmental health.

Compensation and Location

We are looking to fill this position as soon as possible. Compensation will include competitive salary, equity, and benefits. Weave Grid is based in San Francisco but is open to considering remote candidates in the US demonstrating the skills listed above.

How to apply

You can apply through the link below. Remember that we want to see the best of you, so please include any details that will help us get a better sense of who you are and what makes you tick.

Apply