Data Engineer
• Mid-Level
• On-Site
• Data
Mark status as:
✨ The Role in One Sentence
SLAY is seeking a Senior Data Engineer to build data pipelines and infrastructure to support AI-driven virtual characters.
📋 What You'll Likely Do
40%: Build and maintain data pipelines using Snowflake, dbt, and SQL.
30%: Design and implement data models to support analytical and machine learning initiatives.
30%: Collaborate with cross-functional teams to understand data requirements and deliver data-driven solutions.
🧑💻 Profiles Doing This Job
High Priority: 3+ years of experience in data engineering.
High Priority: Proficiency in Snowflake, dbt, and SQL.
High Priority: Experience with early-stage engineering.
📈 How This Role Will Look on Your CV
Built and maintained data infrastructure for a high-growth AI company.