Data Engineer

📋 Description

• Architect scalable data pipelines with Airflow, Python, dbt, Snowflake.
• Build infrastructure as code with Terraform on AWS/GCP.
• Promote code quality with reviews, testing, and CI/CD.
• Design performant SQL transformations and Snowflake data models (dbt a plus).
• Implement observability and monitoring to ensure data quality.
• Collaborate with analysts and product managers to deliver data products.

🎯 Requirements

• Strong Python proficiency for data processing and automation.
• Advanced SQL and Snowflake experience.
• Orchestration mastery with Airflow (or similar).
• Infrastructure mindset: Terraform and AWS/GCP.
• Security and governance: handle PHI/PII; RBAC.
• Strong communication skills to explain technical concepts to non-technical stakeholders.

🎁 Benefits

• dbt expertise for transformations and testing/documentation.
• Healthcare background with HIPAA context.
• Containerization with Docker and Kubernetes.