data
Posted Feb 23Senior Data Engineer (AI)
at South Geeks
Remote
Responsibilities
- - 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. REQUIRED SKILLS &
Requirements
- We´ll be happy to see your application, even if there are skills you don't quite master! ABOUT US At South Geeks, we connect top LATAM engineering talent with innovative companies building impactful products worldwide.
- ABOUT THE CLIENT Our client is a real estate technology startup transforming how commercial real estate teams negotiate and manage leases through AI-driven intelligence.
- Their platform combines advanced AI, structured data pipelines, and user-centered design to automate complex lease workflows, extract market-aligned insights, and streamline proposal generation.
- ABOUT THE ROLE We’re looking for a Senior Data Engineer who thrives at the intersection of data engineering and applied AI.
- You’ll scope ambiguous problems, experiment with AI-driven extraction techniques, and continuously refine pipelines to improve accuracy and scalability. KEY
- - Orchestrate AI-driven workflows integrating multiple LLM models to handle diverse document types and edge cases.
- EXPERIENCE - Strong Python engineering
- 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. NICE TO HAVE -
- Experience evaluating and comparing LLM outputs for consistency and accuracy. - Familiarity with AI orchestration platforms. - Background in real estate, leasing, or financial document processing.