Lead Data Engineer

📋 Description

• Design, build, and maintain production data pipelines with 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 Python code that runs in production.
• Work across dev, staging, and production with deployment and rollback.
• Partner with analytics, data science, and product teams to design data models.

🎯 Requirements

• Strong experience building production data pipelines.
• Deep Python proficiency for data engineering.
• Hands-on Airflow in a production environment.
• AWS experience including S3 and managed services.
• SQL skills with Snowflake or similar warehouses.
• Mentor junior engineers and contribute to best practices.

🎁 Benefits

• Opportunity to work from home.
• Medical, dental, and vision insurance.
• Up to 15 days of paid time off.
• 12 company observed holidays.
• 401k plan with company match.
• Life insurance.