Data Engineer
Core
Design, build, and operate complex data workflows, transformation pipelines, and distributed inference systems for AI-powered content classification.
Role type
Data Engineer
Builds
Data pipelines and distributed inference systems for multi-modal content understanding
Domain
AI/ML infrastructure, cloud data platforms
Deliverable
production ML models
Required skills
Python, SQL, Apache Airflow, Snowflake, dbt, distributed systems, multi-cloud environments (AWS, GCP)
Preferred skills
Systems engineering principles, product lifecycle management
Technologies
Apache Airflow, Snowflake, dbt, AWS, GCP
Responsibilities
Design and build complex workflows using Apache Airflow; Design and build data transformation pipelines in Snowflake and dbt; Manage distributed data science inference systems across multi-cloud environments.
Seniority
Junior to Mid-level, hands-on IC