Data Engineer

📋 Description

• Design, build, and maintain scalable ELT/ETL pipelines and data infrastructure using Snowflake and
• Implement data models — including dimensional, data vault, and medallion/lakehouse patterns — to
• Collaborate in architectural discussion and decision making with team.
• Collaborate with Analytics, Product, and Engineering teams to translate business requirements into
• Establish and enforce data quality standards, automated validations, and observability frameworks
• Contribute to data governance practices, including documentation, data lineage, access control, and

🎯 Requirements

• Strong hands-on experience with Snowflake, including performance optimization, warehouse
• Strong command of modern ELT tooling such as dbt, Fivetran, Airflow, or Prefect in a
• Hands-on experience integrating AI/ML tools into the development cycle, including AI-assisted
• Proven ability to translate complex business requirements into scalable, well-documented technical
• Strong communication skills with the ability to collaborate effectively across technical and
• Degree in Computer Science, Engineering, or a related technical field.

🎁 Benefits

• Remote-first culture, built on trust, collaboration, and transparency
• A high-growth, inclusive work environment where innovation thrives and ideas are implemented
• Lightspeed learning opportunities to keep you at the leading edge of your field
• Exceptional coworkers who challenge and inspire you daily
• Competitive compensation and benefits, including:
• Three weeks of vacation (starting year one)