Senior Data Engineer
Core
Design, implement, and operate end-to-end data pipelines (batch and streaming) from source to warehouse, building high-quality, tested data products for analytics, finance, and engineering teams.
Role type
Senior Data Engineer (AI Infrastructure)
Builds
Ingestion pipelines, dbt transforms, orchestrated data products, and AI agent tooling
Domain
AI Infrastructure / Cloud Data Engineering
Deliverable
production ML models | product features
Required skills
Python, SQL, Snowflake, dbt, Dagster, Terraform, AWS, data quality engineering, incident response, AI agent collaboration
Preferred skills
Streaming ingestion (Kinesis, Kafka), LLM/agent frameworks, Go/Rust/Scala
Technologies
Snowflake, dbt, Dagster, Terraform, AWS, Kinesis, Kafka
Responsibilities
Own end-to-end data pipeline design and operation; build documented, tested data products; ensure data quality and observability; optimize warehouse cost and performance; debug production incidents; manage IaC; collaborate with AI agents; partner cross-functionally on data requirements
Seniority
Senior, hands-on IC