Senior Data Engineer

  • David Energy
  • New York, NY, USA
  • Feb 04, 2020
Full time Buildings and Cities Energy Generation Engineering Research

Job Description

David Energy is creating a new kind of energy company. Traditional Retail Electricity Providers are outdated, opaque, and painful for customers to engage with. We are using software driven solutions to create an entirely new way of doing business in this space and build a category defining company. Our mission is to give energy customers greater transparency and control while creating a cheaper, cleaner, more reliable electricity grid.

Our success will depend on aggregating and analyzing data to properly dispatch and manage users’ assets (such as battery storage, HVAC, and solar) in real-time energy markets to provide the customer with the most value possible. We are looking for an experienced Data Engineer who can spearhead the development of our data/ETL pipelines and overall system architecture.

The ideal candidate will be a passionate and hands on leader who wants to build the foundations of a world class software organization. We want someone with an innate curiosity who would enjoy getting up to speed on energy quickly in order to approach this sector in a new way.

As a Senior Data Engineer, you will be creating an energy management platform that is a first of its kind. The role reports to the CTO and will be located at our HQ in our Brooklyn, NY offices.

Responsibilities include:

  • Participate in the design and implementation of all data initiatives including ETL/data pipeline building and machine learning/forecasting systems.
  • Oversee set up and maintenance of backend cloud infrastructure on AWS
  • Make key language and architecture decisions such as using Python vs. Scala or SQL vs. NoSQL
  • Work cross-functionally with business teams. Collaborate with product to decompose requirements into technical tasks.
  • Unify data from building systems, sensors, APIs, and other sources; design and build a database solution for analyzing key performance indicators (KPIs) in the energy sector.
  • Be cognizant of cost-of-service models to understand the financial cost of serving our customers, identify ways to drive efficiencies from our stack.
  • Own engineering process to maximize velocity and code quality. Define the engineering organization, best practices, estimation, manage technical risk and debt, and own project management for the data team.
  • Recruit, mentor, inspire and develop engineering team in New York. Set goals and manage the performance of the overall software team.

Minimum Qualifications:

  • 4+ years industry experience as a Data Engineer
  • Strong Communication and Interpersonal skills
  • Passion for designing and delivering mission critical code and products
  • BS in Computer Science

Preferred Qualifications:

  • MS/PhD in Computer Science or Applied Math
  • Strong network in the NYC tech scene and ability to use relationships to recruit great talent
  • Familiar with or able to learn quickly about building systems and IoT sensors, their data, and analysis of it (HVAC, occupancy, temperature, energy meters, etc.)
  • Accountability-minded. Can create a culture of healthy accountability in the team. Can balance code quality and speed to market. Been through a startup before