Senior Data Analytics Engineer

Join Fullscript: Shape the Future of Healthcare as a Senior Data Analytics Engineer

At Fullscript, we’re revolutionizing healthcare by creating a connected and complete system that empowers practitioners and supports patients. We’re looking for a talented and passionate Senior Data Analytics Engineer to join our Enterprise Data Warehouse (EDW) team and play a pivotal role in making data-driven decisions across the company.

About the Role

As a Senior Data Analytics Engineer, you’ll be at the heart of our data strategy, building the foundational data models that power our insights. You’ll collaborate with various teams to understand their needs, drive adoption, and ensure our data platform operates smoothly. Your expertise will be crucial in making data accessible and actionable for internal teams, practitioners, and patients alike.

What You’ll Do

• Collaborate cross-functionally to define, build, and deploy our Enterprise Data Warehouse to meet reporting and analytical needs across Fullscript.
• Partner with engineering teams and stakeholders to define and implement our Customer Data Platform (CDP), leveraging data from diverse sources to improve customer acquisition and the customer journey.
• Develop data transformation code in ELT pipelines and utilize data delivery tools to ensure data reaches the right place for informed decision-making.
• Mentor junior team members and provide guidance to promote best practices in Analytics Engineering throughout the company.
• Ensure data models are thoroughly tested and optimized for scalability and performance.
• Create and maintain comprehensive data documentation and definitions.

What You Bring to the Table

• 5+ years of experience in Data Analytics and/or Data Engineering, with a focus on implementing ETL/ELT processes.
• Strong proficiency in SQL.
• Experience with dbt (data build tool) for transformation stages.
• Experience with Cloud Data Warehouses like Snowflake, BigQuery, or Redshift.
• Hands-on experience with data modeling, schema design, and optimization.
• Proven ability to maintain data transformation pipelines, ensuring data availability, quality, and meeting SLAs.
• Deep understanding of data engineering best practices, including version control, testing, and CI/CD methodologies.
• Excellent communication skills to explain complex technical concepts to technical and non-technical audiences.
• A learning mindset and a passion for exploring new technologies and methodologies.

Bonus Points

• Experience with Customer Data Platforms (CDPs).
• Experience with ops practices and tools for automated deployment, CI pipeline definition, and infrastructure management.
• Previous leadership or mentorship experience in a data engineering team.
• A compelling cover letter explaining your passion for analytics engineering.

Why Fullscript?

We offer a competitive benefits package designed to support your well-being and growth:

• Flexible PTO and competitive pay.
• RRSP match and stock options.
• Customizable benefits with flexible coverage and paramedical services.
• Fullscript discounts on wellness products.
• Continuous learning opportunities with a training budget and company-wide initiatives.
• Flexible work arrangements (hybrid and remote).

At Fullscript, you’ll be part of a team that values innovation, supports growth, and cares about work-life balance. We’re building the future of healthcare together. Apply now!

Our Commitment

Fullscript is an equal-opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request. Before joining, all candidates will complete a background check. We use AI tools to support parts of our hiring process, with final decisions always made by people. This process complies with privacy and employment laws across Canada and the U.S.