Software Engineer, Data Platform
About The Position
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. 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. 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.
Requirements
- 5+ years of industry software engineering experience
- experience with data intensive systems in productions
- ideally you will have handled complex data migrations for active clients
- knowledge of various databases and indexes (Postgres/Aurora preferred)
- experience justifying data architecture tradeoffs
Nice To Haves
- Event-driven / streaming pipeline experience.
- Analytics modeling (materialized views, rollups, columnar/OLAP engines)
- Experience with workflow orchestration (temporal is what we use)
- Worked in a small, high-ownership engineering team where you set the standard rather than inherited one.
Responsibilities
- Design and architect real time data ingestion
- Consolidate and cleanse our existing data architecture
- Set up the data platform for agentic layers
- Data platform for developer velocity
Benefits
- Comprehensive medical, dental, and vision coverage
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
