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.
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
What you bring to the table:
5+ years in Data Analytics and/or Data Engineering position as part of ETL/ELT process or data insights development
Strong proficiency with SQL and experience using Python for data transformation
Experience working with dbt (data build tool)
Experience working with Cloud Data warehouses like Snowflake, BigQuery, Redshift and RDBMS (PostgreSQL, MySQL)
Hands-on experience with data modeling, schema design, and optimization techniques
Proven track record of implementing and maintaining data transformation pipelines using tools like dbt (data build tool), Argo, Airflow, or similar workflow orchestration tools
Deep understanding of data engineering best practices, including version control, testing, and CI/CD methodologies
Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders
Continuous learning mindset with a keen interest in exploring new technologies and methodologies in the data engineering space
Bonus qualifications:
Experience with DevOps practices and tools for automated deployment and infrastructure management
Practical experience building and deploying data models that leverage AI and machine learning (using Azure, AWS, Snowflake, etc.)
Familiarity with machine learning concepts and frameworks for implementing predictive analytics solutions
Previous experience in a leadership or mentorship role within a data engineering team
Write us a cover letter explaining why data engineering is of special interest to you
What we can offer you:
Generous PTO and competitive pay
Fullscript’s RRSP match program for financial health
Flexible benefits package and workplace wellness program
Training budget and company-wide learning initiatives
Discount on Fullscript catalog of products
Ability to work Wherever You Work Well*
Why Fullscript?
Great work happens when people are supported, challenged, and inspired. Here, you’ll be part of a team that:
⬦ Values innovation—we push boundaries and always look for better ways.
⬦ Supports growth—through learning, mentorship, and meaningful work.
⬦ Cares about balance—with flexible work options and time off when you need it.
📌 Apply now—let’s build the future of healthcare, together.
Fullscript is an equal-opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request—email
[email protected] for support.
Before joining the team, all candidates who receive and accept an offer will complete a background check.
🚀 MORE INFO: www.fullscript.com | www.rupahealth.com | Follow us on social media @fullscriptHQ
🔥 IN THE NEWS: Fullscript acquires Rupa Health
📺Let’s make healthcare whole
