Data Engineer

📋 Description

• Own core data pipelines end to end: Build and operate the ELT pipeline that moves data from
• Build the data foundation for AIDE's AI initiatives: Partner with AIDE's AI engineering side to
• Own data governance and pipeline health: Maintain Snowflake access controls (RBAC), monitor data
• Contribute to platform strategy: Weigh in on bigger structural decisions — warehouse architecture

🎯 Requirements

• 3+ years of professional experience building and operating production data pipelines — ingestion
• Strong SQL and Python skills; hands on experience with data modeling methodologies and tools
• Experience applying software engineering practices to data systems — version control, code review
• Experience with Snowflake or a comparable modern cloud data warehouse in production.
• Comfort with orchestration tooling (Airflow or similar) for scheduled data jobs.
• Track record supporting many stakeholders across departments such as Sales, CS, Product, Finance

🎁 Benefits

• Offers Equity
• Multiple compensation ranges based on location (Zone 1: $153K – $207K, Zone 2: $142K – $192K, Zone
• Remote work