Staff Data Engineer | AI Platform
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Role details
Tech stack
Job description
A fast-moving, product-focused organization in the commercial real estate space is hiring a Senior Data Engineer to own and scale a modern data platform powering next-generation AI applications. This role centers on a cutting-edge stack including Snowflake, dbt, Airflow, and Python, supporting advanced use cases like RAG pipelines, vector search, and LLM-driven workflows. This is not a ticket-taking role this is for a true builder. You’ll take full ownership of the data platform behind an internally developed AI operating system that has rapidly evolved into a market-ready product. The team is small, highly autonomous, and shipping fast, so they’re looking for someone comfortable making decisions, adapting to constant change, and building in ambiguity.
Requirements
- 10+ years of experience in data engineering
- Expert-level SQL and strong data modeling experience
- Snowflake, dbt, Airflow, and Python
- Building and owning end-to-end data platforms
- Strong ability to work independently in fast-paced, ambiguous environments
Desired Skills & Experience
- Production AI systems on top of data platforms
- RAG architectures, embeddings, or vector databases
- LLM workflows, evaluation, or LLMOps
- Startup or small team experience
- Strong system design and architectural thinking
Benefits & conditions
Pulled from the full job description
- Health insurance
- Vision insurance
- Dental insurance
- Stock options, * 35% Snowflake / Data Warehousing
- 25% dbt / Data Transformation
- 20% Airflow / Orchestration
- 20% Python / AI & Data Integration
You will receive the following benefits:
- Medical, Dental, and Vision Insurance
- Vacation Time
- Stock Options
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