Senior Data Engineer – Cloud Data Platform, Snowflake, dbt

🕒 February 21

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AssistRx

501 - 1000 employees

Founded 2011

⚕️ Healthcare Insurance

💊 Pharmaceuticals

☁️ SaaS

Healthcare Insurance • Pharmaceuticals • SaaS

AssistRx is a company that specializes in providing technology-enabled solutions and expertise to enhance patient access to therapy and improve healthcare outcomes. They offer integrated solutions for therapy initiation, patient support, and analytics, focusing on connecting all stakeholders in the specialty pharmaceutical industry, including patients, healthcare providers, specialty pharmacies, and life sciences organizations. AssistRx's platforms aim to streamline enrollment, reduce therapy disruptions, and utilize real-time data to improve the patient experience. Their solutions are designed to be flexible, interoperable, and scalable, enabling better results in the delivery and management of specialty therapies.

📋 Description

• 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 • 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 • 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 • Ensure data pipelines and models meet PHI / PII / HIPAA compliance requirements • Support secure access patterns, role-based permissions, and data governance controls

🎯 Requirements

• 6+ years of experience in data engineering, analytics engineering, or backend data development • Advanced Snowflake expertise in a production environment (performance tuning, architecture, optimization) • Strong dbt experience building and maintaining transformation layers at scale • Expert-level SQL skills, including complex transformations and performance optimization • Experience designing and supporting cloud-based data platforms (Snowflake preferred) • Hands-on experience integrating data from SaaS platforms (e.g., Salesforce) and operational systems • Familiarity with CI/CD concepts for analytics engineering (version control, deployments, testing) • Strong understanding of data modeling best practices for analytics and reporting

🏖️ Benefits

• Supportive, progressive, fast-paced environment • Competitive pay structure • Matching 401(k) with immediate vesting • Medical, dental, vision, life, & short-term disability insurance • Opportunity to impact patient outcomes through data-driven healthcare technology. • Collaborative and mission-driven culture that values innovation and continuous learning. • Access to cutting-edge cloud technologies and modern data engineering tools. • Competitive compensation, comprehensive benefits, and career growth opportunities**

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