Data Engineer AI

Enersee is growing fast. We’re scaling to the next phase and building the data backbone that powers our AI-driven energy efficiency platform. To make that happen, we need you!

Looking to use AI & Data for Impact?

We’re looking for an Data Engineer AI who thrives at the intersection of algorithms, data pipelines, and real-world problem solving. You’ll make sure our platform runs on clean, consistent, and scalable data flows—while also developing innovative AI models that turn raw data into actionable insights. In short: you’ll shape both the brain and the nervous system of Enersee’s technology.

Why this role matters

Buildings account for 40% of global energy use and one-third of greenhouse gas emissions. That’s a massive challenge—and an even bigger opportunity.

To solve it, Enersee combines AI intelligence with solid data engineering. Your work will make sure data from thousands of buildings flows smoothly, reliably, and at scale—while also training and deploying models that make our AI smarter and our impact greater.

What you’ll do

• Analyze large time series datasets (energy & water) to identify patterns and trends.

• Develop and implement advanced ML algorithms and models.

• Build new time series and metadata connectors as part of product development.

• Maintain and optimize existing data pipelines for quality and reliability.

• Troubleshoot integration issues—data quality, structure, or flow—and solve them quickly.

• Actively source new data streams and integrate them into our platform.

• Collaborate with partners, integrators, and customers to get integrations live and smooth.

• Work closely with developers to refine UX and translate client needs into AI models.