Data Engineer - GenAI
Location: SF
Hybrid schedule
Up to 350K
We are seeking a Data Engineer to work across lots of messy unstructured data and work across a GenAI environment.
The role:
- Turn raw messy data into structured actionable data
- Create data pipelines and scalable infrastructure
- Take a core focus on GenAI implementation
- Design scalable data architecture
- Design and develop scalable data systems
Tech Stack:
- Python
- AWS
- Snowflake
- Fivetran
- Claude
The requirements:
- 2+ years in Data Engineering - Must have worked in a GenAI environment and be familiar with the environment type
- Must have worked with lots of raw and messy data
- Experience in cloud data platforms like Snowflake or AWS
- Must have built production grade data pipelines
- Must have experience in smaller more start up type teams