Senior Data Engineer, AI
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Job Description
Senior Data Engineer designing and building data extraction and transformation pipelines for AI-driven technology in real estate. Collaborating with teams to turn complex documents into structured data.
Responsibilities:
- Design and iterate data extraction and transformation pipelines that convert unstructured leasing documents into structured JSON stores.
- Write and optimize LLM API calls and prompts to extract and interpret text data at scale.
- Orchestrate AI-driven workflows integrating multiple LLM models to handle diverse document types and edge cases.
- Build and maintain ELT workflows in Python, managing data flows between cloud storage and relational databases.
- Develop data quality and validation frameworks to ensure structured outputs are accurate and production-ready.
- Implement monitoring, alerting, and automated quality checks across extraction pipelines.
- Collaborate with product and engineering teams to define and evolve data schemas.
- Own the pipeline end-to-end — from raw ingestion to validated structured output.
Requirements:
- Strong Python engineering experience building data extraction and transformation workflows.
- Experience calling LLM APIs (OpenAI, Anthropic, or similar) and crafting prompts for structured data extraction.
- Solid understanding of ELT patterns and data pipeline architecture.
- Experience working with AWS S3 (or similar object storage) and PostgreSQL (or similar relational databases).
- Experience designing JSON schemas and handling nested or semi-structured data.
- Strong data validation mindset and experience implementing quality controls.
- Ability to work independently in a fast-moving, early-stage environment.
Benefits:
- Long-term projects
- 100% remote work
- Payment in USD
- Paid Time Off (PTO)
- Work-from-home & training reimbursement
- English lessons
- Technical training
- Career coaching
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