Senior Data Engineer
Core
Build AI-ready data pipelines, semantic layers, and data models to enable accurate querying by AI tools and humans for a real-time audio effects platform.
Role type
Senior Data Engineer (Analytics Engineering focus)
Builds
Ingestion pipelines, dbt models, semantic layers, and data documentation for an audio platform serving gamers and streamers.
Domain
Gaming / Streaming / Real-time audio analytics
Deliverable
production ML models
Required skills
Advanced SQL, dbt, Snowflake, ELT tools (Weld, Stitch, dltHub), Airflow, Data Modeling (dimensional, incremental, SCD), Event Tracking Design
Preferred skills
Python, GCP, BI tools (Looker migration), Data Quality/Observability, Semantic Layer frameworks (Cube, dbt Semantic Layer), MCP/text-to-SQL
Technologies
Snowflake, dbt, Amplitude, Weld, Stitch, dltHub, Airflow, Looker, GCP
Responsibilities
Design semantic layers and metadata for AI tools; Develop dbt models for reliable datasets; Build and monitor ingestion pipelines; Ensure consistency between real-time (Amplitude) and batch (Snowflake) reporting; Own data quality tests and documentation.
Seniority
Senior, hands-on IC