Data Engineer
Core
Design, build, and scale data infrastructure and pipelines to power an AI creative platform for video creation.
Role type
Data Engineer
Builds
Scalable data pipelines, ETL workflows, and analytics systems for AI applications
Domain
AI / Creative Media / Cloud Data Platforms
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, data pipeline orchestration, cloud data platforms, database systems, data modeling, monitoring and logging
Preferred skills
Machine learning data support, real-time streaming architectures, high-growth startup experience
Technologies
Python, Go, Node.js, Postgres, Redis, Docker, Kubernetes, AWS, GCP, Airflow, Prefect, Dagster, Redshift, BigQuery, Snowflake, Kafka, Kinesis
Responsibilities
Design and maintain scalable data pipelines and ETL workflows; Build and optimize data infrastructure for analytics and ML; Ensure data quality, consistency, and security; Collaborate with teams to define data requirements; Implement monitoring solutions; Optimize storage and processing performance; Contribute to data modeling and schema design
Seniority
Mid-Senior, hands-on IC