Data Engineer

📋 Description

• Architect Robust Pipelines: Design, build, and optimize scalable data pipelines using Airflow
• Build Infrastructure as Code: Manage and evolve cloud infrastructure (AWS/GCP) using Terraform.
• Elevate Code Quality: Write clean, production-grade code and champion engineering best practices
• Optimize Data Models: Collaborate with analysts to design performant SQL transformations and data
• Ensure Data Reliability: Implement observability and monitoring to maintain data quality.
• Partner Cross-Functionally: Work with Data Analysts and Product Managers to deliver data products.

🎯 Requirements

• Strong Python proficiency: writing modular, testable, and efficient Python code for data processing
• Advanced SQL and Snowflake expertise: cloud data warehousing, query optimization for performance
• Orchestration mastery: Proven experience building and maintaining complex workflows using Airflow
• Infrastructure mindset: Familiarity with Terraform and cloud services (AWS or GCP).
• Security and stewardship: Experience handling PHI and PII, implementing RBAC, and adhering to
• Startup DNA: Self-starter comfortable with ambiguity, taking ownership and wearing many hats.

🎁 Benefits

• Offers Equity
• Salary range: $130K – $175K