Senior/Staff Data Engineer

The role

You will build and own significant parts of the data infrastructure, driving pipeline reliability and warehouse quality. You will work across a modern data stack to ensure data is timely, accurate, performant, secure, and trusted.

What you will do

• Build, release, and maintain high-quality ELT and streaming pipelines
• Orchestrate complex data workflows using Dagster/Airflow and DBT
• Own areas of the Snowflake data warehouse and design performant schemas
• Resolve critical data issues independently
• Contribute to architectural decisions and technical design discussions
• Support analytics delivery through Hex and AI Agents
• Author documentation and share learnings to help the team level up
• Participate in on-call rotation

Required qualifications

• Bachelor's degree in Computer Science, Mathematics, or a related technical discipline, or equivalent practical experience
• 5+ years of experience in Data
• At least 4 years in a Data Engineering role
• Deep expertise in analytical use cases of SQL
• Strong proficiency in Python
• Hands-on experience with a modern data stack
• Ability to take ownership of loosely-defined problems
• Experience working with sensitive data in a regulated environment
• Live within a 75-minute commute of the NYC office (near Union Square)
• Able to work in-office 4 days per week

Nice to have

• Previous Experience in Healthcare
• Previous Experience in Airflow & Migrations
• Previous Experience with Kafka Streams
• Experience leveraging AI tools for development

Benefits

• Comprehensive benefits to all full-time, exempt employees
• Stock options

About the company

Charlie Health connects the world to life-saving behavioral health treatment through personalized, virtual care. The organization focuses on people with complex needs to expand access to meaningful care.