As a Senior Data Analytics Engineer, you'll develop data models, manage the data platform, mentor juniors, and ensure data quality for decision making.
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.
We’re seeking a Senior Data Analytics Engineer for our team. The Enterprise Data Warehouse (EDW) team builds core data models that are used to drive effective planning and decision making across the company. We will be continuing to invest in this team in the coming years to make our data more accessible to internal teams, and to leverage it within our applications to provide practitioners and patients with data-informed experiences.
As Senior Data Analytics Engineer, you will be building the foundational data models, and partnering with other groups in the company to understand stakeholder needs and help with adoption. You will also be helping the EDW team with its other key responsibility - managing the operation of our data platform that is used by analytics engineers, data scientists, and business users throughout the company.
What you'll do:
- Work cross-functionally to help define, build, and deploy our Enterprise Data Warehouse to serve reporting and analytical needs across Fullscript.
- Work with Fullscript’s engineering team and other business stakeholders to define and implement our Customer Data Platform (CDP), which uses data from a variety of sources to power decision making about customer acquisition and the customer journey.
- Write data transformation code in ELT pipelines, and work with data delivery tools to ensure the data arrives where it is needed to support this decision making.
- Mentor and provide technical guidance to junior members of the team, and provide guidance and influence to all practitioners of the Analytics Engineering craft throughout the company.
- Ensure data models are properly tested and optimized for scalability and performance.
- Create and maintain data documentation and definitions.
What you bring to the table:
- 5+ years in Data Analytics and/or Data Engineering, implementing ETL/ELT processes.
- Strong proficiency in SQL.
- Experience with dbt (data build tool) for implementing transformation stages.
- Experience working with Cloud Data Warehouses such as Snowflake, BigQuery or Redshift.
- Hands-on experience with data modeling, schema design, and optimization techniques.
- Proven experience maintaining data transformation pipelines, ensuring data availability and quality, meeting SLAs, and communicating status to downstream consumers.
- Deep understanding of data engineering best practices, including version control, testing, and CI/CD methodologies.
- Ability to communicate complex technical concepts effectively to technical and non-technical stakeholders.
- Learning mindset, with a keen interest in exploring new technologies and methodologies.
- Experience with a Customer Data Platform (CDP).
- Experience with ops practices and tools for automated deployment, CI pipeline definition, and infrastructure management.
- Previous experience in a leadership or mentorship role in a data engineering team.
- A cover letter explaining why analytics engineering is of special interest to you.
Bonus if you have:
What we can offer you:
- Flexible PTO & competitive pay—rest fuels performance.
- RRSP match & stock options—invest in your future.
- Customizable benefits—flexible coverage, paramedical services, and an HSA.
- Fullscript discounts—save on wellness products.
- Continuous learning—training budget + company-wide initiatives.
- Wherever You Work Well—hybrid and remote flexibility.
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.
We kindly ask that all applications be submitted directly through our careers page. Due to the high volume of interest, we’re not able to respond to individual emails or messages about job postings. If your background aligns with what we’re looking for, a member of our team will reach out to you directly.
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.
We use AI tools to support parts of our hiring process, like screening and reviewing responses. Final decisions are always made by people. This process complies with privacy and employment laws across Canada and the U.S.
------
🚀 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
Top Skills
BigQuery
Dbt
Redshift
Snowflake
SQL
Similar Jobs
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
As a Backend Engineer, you will work on high volume services within a cybersecurity platform, focusing on scalability and distributed systems.
Top Skills:
AWSAzureCassandraElasticsearchGCPGoKafka
Fintech • Financial Services
As a Business Development Representative, you will develop client relationships, generate new business, and maintain effective customer engagement while achieving sales targets.
Top Skills:
Crm Software
Big Data • Fintech • Mobile • Payments • Financial Services
The Senior Software Engineer will optimize cloud infrastructure, manage distributed systems, and lead team collaboration to ensure system resilience and performance.
Top Skills:
AWSKotlinKubernetesLocustMySQLPython
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
