---
title: 'Software Engineer, Data Platform at Rebar'
canonical: 'https://feeny.ai/job/software-engineer-data-platform-rebar-new-york-v7dwpayh06v6'
type: 'job'
last_seen: '2026-09-04'
---

# Software Engineer, Data Platform at Rebar

- **Company:** Rebar
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-06
- **Last confirmed live:** 2026-09-04
- **Apply:** https://jobs.ashbyhq.com/rebar/c227ea05-98f8-4a08-9760-f7e3c37927c4

## Job description

## 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 QuackDB? Or just want to mess around with parquet files some? Sure, let it rip. Haven’t even heard of QuackDB? Now might be the time to learn. Always wanted to explore the cost benefit analysis between Cassandra, DynamoDB, and Scylla? Or intrigued by balancing a local analytics platform that minimizes latency and network load? You might have found your role.

We want someone that has experience dealing with vastly more data than we currently have because that is the direction that we’re moving. You should be prepared to work hard (we are still a Series A startup), take a risk, learn a shit ton, and grow individually and with us as a company.

## QUALIFICATIONS

- 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 HAVE

- 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.

## COMPENSATION AND BENEFITS

- Salary: Competitive base salary
- Equity: Meaningful equity package, commensurate with experience
- Benefits: Comprehensive medical, dental, and vision coverage
- Perks:
- agentic tooling budget
- lunches provided, dinners provided (after a set time)
- great culture and office banter

This is a salaried, onsite role located in New York City's Flatiron district. We are still a startup! We love working onsite together and believe strongly that this gives us for creative problem-solving, and building strong connections. You'll be at the heart of our fast-paced operations, actively contributing to a culture that values engagement, growth, and teamwork.

## About Rebar

## Company Overview
- **One-liner**: Rebar builds an AI operating system for HVAC, plumbing, and electrical trades, starting with lightning-fast takeoff and estimating software.
- **Entity Type**: Private (Series A)
- **Headquarters**: New York, NY, USA
- **Founded**: 2024
- **Founders**: Evan Brown (CEO) and Andrew Schwartz (CPO & Co-Founder)

## Core Business
- **Primary industry**: Construction technology (HVAC, plumbing, electrical subcontractor software)
- **Target customers**: B2B – HVAC rep firms, distributors, mechanical contractors, and subcontractors
- **Mission or purpose**: To modernize the trades with AI-powered tools that reduce manual estimating work, helping pros move faster from takeoff to bid.

## Products & Services
- **Rebar AI Takeoff Software**: Hyper-specialized HVAC estimating software that uses AI to automatically mark equipment, detect rooms, and summarize addenda, cutting takeoff time by 60% ([withrebar.ai](https://www.withrebar.ai/)).
- **Performance Analytics**: Dashboards for companies to track bid volume, team estimating speed, and product preferences in their market ([withrebar.ai](https://www.withrebar.ai/)).
- **Basis of Design**: Identifies what equipment engineers are specifying in a given market ([withrebar.ai](https://www.withrebar.ai/)).
- **Data Security & Customization**: Isolated data per organization; customizable markup symbols, equipment preferences, and property settings ([withrebar.ai](https://www.withrebar.ai/)).

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total Funding – $14.0M (Series A, March 2026)
- **Notable Investors/Partners**: Lead investor: Prudence; also Zero Infinity Partners, Founder Collective, Villain Capital, Optimist Ventures ([linkedin.com](https://www.linkedin.com/company/withrebar))
- **Growth Signals**: Headcount grew ~173% YoY to 17 employees; monthly web traffic up 28.7%; awarded Innovation Award at AHR 2026; active job postings increasing 22.2% month-over-month ([linkedin.com](https://www.linkedin.com/company/withrebar))

## Competitive Advantages
- **Domain expertise**: Founded by HVAC industry veterans (Evan Brown was an estimator and sales engineer) and technologists from Goldman Sachs and Ambient – they lived the problem ([withrebar.ai](https://www.withrebar.ai/about)).
- **Hyper-specialized AI**: Purpose-built for HVAC estimating (not generic takeoff software), with computer vision and VLMs trained on construction workflows ([linkedin.com](https://www.linkedin.com/company/withrebar)).
- **Data moat**: Performance data and equipment preference insights give suppliers and manufacturers visibility into market trends.

## Strategic Focus
- **Product expansion**: Moving beyond takeoffs into spec review, submittals, and bid management to become the full AI operating system for the trades ([withrebar.ai](https://www.withrebar.ai/about)).
- **Scaling team**: Aggressively hiring across engineering, client success, sales, and product to support rapid customer adoption ([jobs.ashbyhq.com](https://jobs.ashbyhq.com/rebar)).
- **Industry partnerships**: Exhibiting at major trade shows (New York Build Expo, AHR) and building integrations with price databases and supplier systems.

## Why Work Here
- **Culture**: Small, remote-first team where employees have real ownership and are expected to “operate like an owner” – values include curiosity, hard work, collaboration, and high craft standards ([withrebar.ai](https://www.withrebar.ai/careers)).
- **Location**: Office in New York, NY with remote flexibility; late-night Uber rides and meals provided for in-office days ([withrebar.ai](https://www.withrebar.ai/careers)).
- **Benefits**: Fully covered health/dental/vision insurance, 401(k), lunch and dinner in office ([withrebar.ai](https://www.withrebar.ai/careers)).
- **Engineering culture**: Focus on cutting-edge AI (computer vision, VLMs), TypeScript stack, and solving real-world problems for an underserved industry ([linkedin.com](https://www.linkedin.com/company/withrebar)).

## Sources
1. [withrebar.ai](https://www.withrebar.ai/about)
2. [withrebar.ai](https://www.withrebar.ai/)
3. [withrebar.ai](https://www.withrebar.ai/careers)
4. [linkedin.com](https://www.linkedin.com/company/withrebar)
5. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/rebar)

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