About the RoleWe’re hiring a Data Engineer to join our Data Engineering & Analytics team. In this role, you will be a key contributor in architecting our Snowflake data warehouse and developing robust, scalable data models using dbt to power analytics across the company – from internal leadership to clinicians supporting patient care.You’ll work closely with ELT stakeholders and Tableau dashboard designers to ensure the data foundations are clean, reliable, and fast. This role does not involve the front-end application layer work (e.g., React, Java)What You’ll DoOwn the design and development of Snowflake ELT pipelines and data models using dbt.Collaborate with analysts and business stakeholders to translate needs into data models and semantic layers.Maintain and evolve our Snowflake architecture in support of performance, scale, and maintainability.Monitor and optimize FiveTran connectors for consistent and accurate data ingestion.Contribute to CI/CD pipelines and infrastructure automation using GitHub, Terraform, and TypeScript IaC scripts.Participate in code reviews, testing, documentation as a core part of our team’s development process.Our Analytics Stack:Data Warehouse: SnowflakeELT & Modeling: dbt, FiveTran, Amazon GlueBI: Tableau (you will support the data behind it, not design the dashboards)Orchestration & Infrastructure: GitHub Actions, Terraform, TypeScriptLanguages: SQL (advanced), Python (helpful), TypeScript (light working knowledge)What We’re Looking for:Required:3+ years in a data engineering or analytics engineering roleAdvanced SQL and strong experience with modern cloud data warehouses (ideally Snowflake)Strong dbt skills, including testing, modeling, and documentationFamiliarity with CI/CD workflows using Git and GitHubComfort working in a collaborative, fast-paced, and feedback driven environmentExcellent communication skills and documentation skills