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Data Engineer - Cloud Data Platform (Snowflake & dbt)
AssistRx
- United States
- United States
Über
AssistRx transforms the patient journey through technologyhelping patients access life-saving therapies faster and more efficiently. Our platform connects patients, providers, payers, and manufacturers through secure, scalable, data-driven solutions that power better decisions and better outcomes across the healthcare ecosystem. If you're passionate about building modern data platforms, working with large-scale cloud data systems, and applying data engineering best practices in a regulated healthcare environment, we'd love to talk. AssistRx is seeking a Senior Data Engineer to join our Cloud Data Platform (CDP | Architecture) team. This role is highly hands-on and focused on designing, building, and scaling our modern data platformwith Snowflake and dbt as core, non-negotiable technologies. You will play a critical role in shaping AssistRx's enterprise data architecture, owning transformation logic, performance optimization, and data modeling patterns that support analytics, reporting, and downstream products across the organization. This is not an entry-level or tool-learning role. We are looking for someone who can contribute immediately in a production Snowflake + dbt environment and help set technical standards for the broader data organization. Cloud Data Platform & Architecture Design, build, and optimize Snowflake-centric data architectures to support enterprise analytics, reporting, and operational use cases Own dbt transformation layers, including model design, testing, documentation, and deployment best practices Implement scalable data modeling patterns (star schemas, data vault, dimensional models) aligned to business needs Data Engineering & Pipelines Develop and maintain reliable data pipelines integrating sources such as Salesforce, application databases, and external client data Ensure data quality through validation, testing, monitoring, and observability frameworks Optimize Snowflake performance and cost through query tuning, warehouse design, and efficient data modeling Collaboration & Enablement Partner closely with Analytics, BI, Product, and Engineering teams to deliver trusted, analytics-ready datasets Contribute to architectural standards, code reviews, and best practices across the CDP team Document data flows, models, and platform decisions to support long-term scalability and knowledge sharing Governance, Security & Compliance Ensure data pipelines and models meet PHI / PII / HIPAA compliance requirements Support secure access patterns, role-based permissions, and data governance controls
Sprachkenntnisse
- English
Hinweis für Nutzer
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