🛠 Tech Stack

💼 About This Role

You'll build and scale high-throughput streaming pipelines for a Series C AI growth platform used by over 87,000 real estate professionals. You'll shape platform architecture and drive AI-powered product delivery at a company with an unlimited Anthropic token budget where AI is central to engineering workflows. This role offers a chance to define next-generation engineering practices in a fast-growing company backed by top investors.

🎯 What You'll Do

• Build and scale high-throughput streaming pipelines ingesting 400M+ monthly updates
• Model and deliver production-grade real estate datasets with data modeling and transformation
• Strengthen data quality and observability with monitoring and alerting
• Leverage AI to improve data operations and reduce manual intervention

📋 Requirements

• 6+ years of professional data engineering or software engineering experience
• Strong experience with distributed data processing and streaming systems (Spark, Kafka)
• Proficiency in Python (Pydantic preferred) and familiarity with Node/TypeScript
• Experience building data pipelines on AWS using Airflow, Spark Streaming, and Iceberg

✨ Nice to Have

• Interest in applying AI/ML or automation to improve data workflows
• Proven track record leading high-impact initiatives from concept through production in a SaaS environment
• Expert-level grasp of software design principles and multi-tenant platform architectures

🎁 Benefits & Perks

• 💰 Competitive salary and equity
• 🏖️ Unlimited PTO
• 🏠 Remote-first culture with LATAM focus
• 🤖 Unlimited Anthropic token budget for AI-assisted development

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Phone Screen· 30 min
2. 2Technical Assessment· 60 min
3. 3Hiring Manager Interview· 45 min