Senior Data Analytics Engineer

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Fullscript

WebsiteLinkedInAll Job Openings

Integrative Medicine • e-commerce • Dispensing Platform • Inventory management • health technology

201 - 500 employees

Founded 2016

⚕️ Healthcare Insurance

🧘 Wellness

☁️ SaaS

💰 $240M Private Equity Round on 2021-11

Description

• Fullscript leads the way in proactive whole-person care, empowering over 100,000 healthcare practitioners to serve 10 million patients. • Our platform enables practitioners to deliver complete care; designing holistic health plans, educating patients, managing lab diagnostics, and prescribing high-quality supplements—all in one place. • Come build a healthier future with us and let’s make healthcare whole. • We’re seeking a Senior Data Analytics Engineer for our Data Product team. • The Data team is both a support function and strategic partner at Fullscript and will be a key area of investment in the future. • Data is used to drive effective planning and decision making all the way from exploration of opportunities, to hypothesis testing and goal setting, to measurement of results and iteration. • We will invest 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. • This same platform also provides key insights for our practitioners and their patients through analytics and advanced metrics.

Requirements

• 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 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

Benefits

• 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*