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A dynamic company is seeking a Founding Data Engineer to establish and optimize their data systems for an innovative Real Estate SaaS platform. This role involves working closely with an agile team, developing data pipelines, integrating AI models, and driving improvements in data architecture. Ideal candidates will bring strong Python and GCP skills and a proactive startup mindset. We value collaboration, problem-solving, and effective communication to ensure successful remote teamwork.
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We're Hiring: Founding Data Engineer (Python, GCP, AI)
Project: AI-powered CRE Lead & Marketing Automation | Distressed Property Lead Marketplace | Strategic AI Real Estate SaaS
Type: Remote | Freelance/Contract (6 months to start)
Start Date: Immediate (Month 1)
Team: You’ll be joining a small and agile team and collaborating closely with a Data QA Analyst.
About the Role
Are you a Data Engineer with a passion for building scalable data systems, automating data flows, and working with cutting-edge AI tools? We’re launching a brand-new Real Estate SaaS platform powered by AI to revolutionize how distressed property leads are discovered, qualified, and automated for CRE teams.
As our Founding Data Engineer, you'll be responsible for laying the technical foundations of our data infrastructure. From developing ingestion pipelines to leveraging AI for enriched data processing — you’ll play a critical role in the success of our product from Day 1.
What You’ll Be Doing
Build & Maintain Scalable Pipelines: Design, build, and maintain end-to-end data ingestion pipelines using Python and GCP tools.
Data Infrastructure Setup: Define and implement our core data architecture from scratch, including automation, observability, and security best practices.
Work with AI Models: Integrate and test AI models for lead scoring, enrichment, and marketing automation tasks.
API Integrations: Connect with third-party data providers (e.g., MLS databases, CRMs, marketing platforms) and ensure clean, reliable ingestion.
Collaborate with Stakeholders: Work closely with product leadership and (starting in Month 2) our Junior Data QA Analyst to align on business and data needs.
Own and Optimize: Drive continuous improvements to our data platform — from ingestion to transformation — and ensure performance, scalability, and reliability.
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