Key skills
AirflowETLGoogle Cloud PlatformJavaScriptNode.jsPythonSQLAIMLLLMELTGCPGoogle CloudMentoring
About this role
Role Overview
- Architect and scale systems for AI-driven valuation tools
- Lead development of data ingestion pipelines
- Build batch and real-time pipelines
- Develop systems for document parsing, OCR, and classification
- Own architecture of data storage and processing stack
- Operationalize AI/ML workflows
- Collaborate across engineering and product teams
Requirements
- B.S in Computer Science or equivalent
- 7+ years of backend engineering experience
- Proven track record of mentoring engineers
- Fluent in Python, SQL
- Familiar with orchestration tools like Airflow, Dagster, or Temporal
- Experience with web scraping pipelines at scale
- Understand ETL and ELT tradeoffs
- Have worked with LLM APIs or ML models in production
- Experience with GCP, Node.js/JavaScript and Vercel
Tech Stack
- Airflow
- ETL
- Google Cloud Platform
- JavaScript
- Node.js
- Python
- SQL
Benefits
- Meaningful equity
- Competitive compensation
- Remote-flexible culture with an HQ in NYC