Lead Data Engineer

📋 Description

• Design, build, and maintain production-grade data pipelines using Airflow and AWS.
• Own data ingestion from internal systems and third-party integrations.
• Manage data storage and movement across S3, Snowflake, Snowpipe, and DynamoDB.
• Write and maintain custom Python code that runs in production.
• Work across dev, staging, and production with deployment and rollback practices.
• Partner with analytics, data science, and product teams to design reliable data models.

🎯 Requirements

• Strong experience building and maintaining production data pipelines.
• Deep comfort with Python for data engineering (not just scripting).
• Hands-on Airflow experience in production environments.
• Experience with AWS, including S3 and managed services.
• Strong SQL skills; Snowflake experience preferred.
• Experience operating across dev/prd environments.

🎁 Benefits

• Opportunity to work from home
• Excellent work environment
• Medical, dental, and vision insurance
• Up to 15 days of paid time off
• 11 company observed holidays
• 8 weeks of paid parental leave