AssistRx, headquartered in Orlando, Florida, is a company dedicated to improving patient access to therapy through a combination of technology and expertise. Founded in 2009, AssistRx collaborates with pharmaceutical clients to create integrated solutions that streamline the process for healthcare providers and patients. Their services include patient support, therapy initiation, and analytics to enhance outcomes and visibility.
The company operates multiple facilities, including a state-of-the-art non-commercial specialty pharmacy and a network of field nurses across the U.S. and Puerto Rico. AssistRx supports over 140 brands across various therapeutic areas, such as oncology, cardiology, and immunology, among others.
-
· 73 views · 23 applications · 23d
Data Engineer
Full Remote · Worldwide · 5 years of experience · NativeKey Responsibilities Architect, build, and maintain high-performance data pipelines and warehouses in Snowflake. Design and optimize dimensional data models (star & snowflake schemas) using Kimball methodology. Implement automated data quality checks,...Key Responsibilities
- Architect, build, and maintain high-performance data pipelines and warehouses in Snowflake.
- Design and optimize dimensional data models (star & snowflake schemas) using Kimball methodology.
- Implement automated data quality checks, monitoring, and alerting.
- Partner with analytics, product, and engineering teams to translate requirements into technical solutions.
- Mentor junior engineers and champion data engineering best practices.
- Develop and optimize ETL/ELT workflows integrating multiple cloud and SaaS data sources.
- Continuously tune Snowflake performance and manage cloud resources efficiently.
- Document data architecture, transformations, and operational processes.
Required Qualifications
- 5+ years of experience in data engineering.
- 3+ years of hands-on Snowflake experience, including query and warehouse optimization.
- Strong skills in dimensional modeling and data warehouse design.
- Proficiency in SQL and at least one programming language (Python preferred).
- Experience with modern data pipeline tooling and orchestration.
- Solid understanding of data warehouse concepts and best practices.
Preferred Skills
- Experience with dbt (data build tool).
- Familiarity with AWS, Azure, or GCP (AWS preferred).
- Experience with Git-based workflows and CI/CD pipelines.
- Knowledge of data governance and security in the cloud.
- Exposure to BI tools such as Looker, Tableau, or Power BI.
More