About the job
About AssistRx
At AssistRx, we are dedicated to revolutionizing the patient experience through innovative technology. Our platform streamlines access to life-saving therapies, connecting patients, healthcare providers, payers, and manufacturers through secure and scalable data-driven solutions. By facilitating better decision-making, we aim to enhance outcomes across the entire healthcare ecosystem.
We invite you to join our team if you are passionate about constructing cutting-edge data platforms, engaging with large-scale cloud data systems, and applying data engineering best practices within a regulated healthcare context.
Role Overview
We are actively seeking a Senior Data Engineer to become an integral part of our Cloud Data Platform (CDP | Architecture) team. This position is highly hands-on and centers on the design, construction, and expansion of our modern data platform, with a particular focus on Snowflake and dbt as essential technologies.
Your contributions will be pivotal in shaping AssistRx’s enterprise data architecture, as you will be responsible for transformation logic, performance optimization, and the implementation of data modeling patterns that support analytics, reporting, and downstream products across our organization.
This is not an entry-level opportunity; we are looking for a candidate who can immediately contribute in a production Snowflake + dbt environment and establish technical standards for the wider data organization.
What You’ll Do
Cloud Data Platform & Architecture
- Design, build, and optimize Snowflake-centric data architectures to facilitate 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 with business requirements.
Data Engineering & Pipelines
- Develop and maintain robust data pipelines integrating sources such as Salesforce, application databases, and external client data.
- Ensure data integrity through validation, testing, monitoring, and observability frameworks.
- Optimize Snowflake performance and cost through query tuning, warehouse design, and efficient data modeling.
Collaboration & Enablement
- Collaborate closely with Analytics, BI, Product, and Engineering teams to deliver trusted, analytics-ready datasets.
- Contribute to establishing 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 adhere to PHI / PII / HIPAA compliance requirements.
- Support secure access patterns, role-based permissions, and data governance initiatives.

