Senior Data Engineer
Core
Building the end-to-end data stack (warehouse, pipelines, semantic models) to power AI agents for internal business questions.
Role type
Senior Data Engineer (Analytics)
Builds
Production data warehouse, ingestion pipelines, dbt models, and semantic layers for AI agents
Domain
Video technology / Developer tools / Data Engineering
Deliverable
production ML models
Required skills
Data engineering, dbt, Snowflake, Python, SQL, Data modeling, Data observability, Ingestion tools, AWS/GCP, AI coding tools
Preferred skills
Semantic layers, LLM agents integration, Data science, Vector/Time-series databases, Reverse ETL, Finance data, Video/CDN background
Technologies
Snowflake, dbt, Fivetran, Airbyte, AWS, GCP, Metaplane, Monte Carlo, Elementary, Salesforce, NetSuite, HubSpot, Kafka, Kinesis, Redis
Responsibilities
Own the data warehouse architecture and administration; Build and maintain ingestion from production systems; Run platform orchestration and incident response; Build semantic models for AI agents; Ensure data quality and governance; Partner with cross-functional teams on data needs
Seniority
Senior, hands-on IC