Software Engineer, Data Platform

ABOUT REBAR Rebar is building the AI operating system for commercial HVAC, Electrical, and Plumbing. Over the past year our quoting platform has processed tens of thousands of projects across North America and we’re continuing that growth. Our customers include many of the top firms in the industry. Some of these companies are running billion dollar construction projects on workflows that still look like it's 1985. Construction is 10% of GDP and still massively underserved by software. We are changing that. We recently raised a $14M Series A from leading construction tech investors and are entering our next phase of growth. We are building a set of AI native products that will define how this industry operates. ABOUT THE ENGINEERING ORG We're in the age of ai and the role of the engineer is rapidly changing. We're aware. We're being very intentional of ensuring we adapt with it. We are fostering an engineering culture of growth and development. We strongly emphasize care of craft and winning together. Everyone operates like an owner, we find a way, and we win together. ABOUT THE ROLE We’re hiring a Software Engineer to own our data platform and analytics. This will be the event infrastructure that ties our services together and makes surfacing new insights to our customers seamless. We want to be clear that this is not a business insights or analyst role - this is a backend/systems role. You are going to be designing migrations, schemas, and the pipelines for all of the data that we can read off of extremely dense construction plansets. RESPONSIBILITIES - Design and architect real time data ingestion - We have hundreds and soon will have thousands of ML jobs running at any given time processing dense construction documents. We parse and extract lots of information about these projects. This information should be ingested in real time for greater insights for our customers as well as for our internal team. - Consolidate and cleanse our existing data architecture - This data is inherently messy. We need clean data schemas for this as we grow and evolve. You should be designing with our entire system in mind. - Set up the data platform for agentic layers - Providing context to our Rebar Agent is a pillar of having a world class agent. You will be fundamental in this role - Data platform for developer velocity - Finally, you are setting up the backbone of our data platform so that other engineers can access and query the data they need with ease. WHAT WE’RE LOOKING FOR We’re looking for a passion and excitement about large amounts of structured and unstructured data. You should eat and breathe your domain and be hungry for it. We want curious engineers that love the research part of the job. Interested in trying DuckDB? Or just want to mess around with parquet files some? This could be your chance to try it. Always wanted to explore the cost benefit analysis between Cassandra, DynamoDB, and…