At Fullscript, we’re not just changing healthcare—we’re making it whole.
We help 100,000+ healthcare practitioners support 10 million patients with a platform that delivers evidence-based health solutions, diagnostic support, and practitioner tools—all in one place.
Healthcare today is disconnected. We’re fixing that. Fullscript makes it easier for practitioners to treat the whole person, not just symptoms, so patients get the support they need—when they need it.
We’re building a better way—one where healthcare is connected, complete, and built for impact.
📊 BUILD DATA. DRIVE INSIGHTS. IMPACT HEALTHCARE.
We’re seeking a Senior Data Analytics Engineer for our Data Commercial team. The Data team is both a support function and strategic partner at Fullscript and will continue to be a key area of business value going forward. Data is used to drive effective decision-making and growth through opportunity analysis, experiment design and iteration,, and building dynamic experiences for our customers. We are investing heavily in the coming years to make data more accessible to our internal teams and to leverage it within our application to provide our practitioners and patients with data-driven tools and experiences.
As the Senior Data Analytics Engineer, you will be building the data platform that powers our decision-making and growth. This same platform also provides key insights about our practitioners and their patients through analytics and advanced metrics.
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What you’ll do:
- Work cross-functionally to help maintain, build and deploy a Commercial data warehouse to serve reporting, analytical, and self-service needs for key Fullscript stakeholders
- Work with your leader and team to collaborate on initiatives across functions such as Analytics, Commercial, and RevOps to understand and improve their data
- Write data transformation code in ELT pipelines to integrate that data into our data warehouse for consumption by the reporting and data analytics functions
- Mentor and provide technical guidance to junior members of the data engineering team
- Work with other data engineers to create and populate the data models for downstream consumption, and write the necessary tests to ensure data quality
- Apply advanced data engineering techniques to optimize performance and scalability of data pipelines
- Leverage AI and machine learning to build models that are responsive to business requirements and enable the delivery of streamlined, dynamic experiences for customers
- Apply version control, testing and continuous integration (CI) in the data transformation code
- Create and maintain data documentation and definitions
