Senior Data Developer

About Dialogue

Dialogue is the #1 virtual care provider in Canada. By developing our Integrated Health Platform🅫, we provide exceptional online health and wellness programs (primary care, mental health, iCBT, EAP, and wellness) to organizations that want to improve the wellness of their employees and families.

When it comes to our work, we set the bar high. Together, we’re transforming health and helping millions improve their well-being. We’re firm believers that great people don’t settle on:

• Impact
• Community
• Growth
• Excellence

Feel like you can make a difference? Good news, we saved you a seat!

Come as you are. As a proud equal-opportunity employer, Dialogue is dedicated to creating a diverse and inclusive workplace for everyone. Qualified applicants will be considered regardless of citizenship, ethnicity, race, colour, religion, gender, gender identity or expression, sexual orientation, disability, age, or veteran status. Applicants who require specialized accommodation are encouraged to contact .

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Your role as Senior Data Developer

We are seeking a product-oriented Senior data developer to help us deliver more value with our growing data product catalogue. In particular, we’re interested in candidates with experience working on structured data mart modelling in a cloud-based data warehouse.

In this role, you will collaborate closely with data analysts, full stack developers, product/project managers and software developers to understand business requirements and translate them into robust and scalable data product features. You will work within an agile framework, emphasizing rapid iteration and deployment while maintaining high standards of code quality and data integrity.

What you'll be doing

• Develop and maintain our data warehouse modelling, optimizing it for utility, extensibility, and performance across staging, intermediate, and mart layers, transforming raw source data into curated, well-documented datasets ready for external client reporting and statement of work reporting using dbt and Snowflake
• Implement robust observability for data pipelines—structured logging, data quality checks, freshness monitoring, and alerting—to ensure shared data is accurate and trustworthy
• Develop and own batch and event-driven data pipelines (Snowpipe, Event Bridge) that power eligibility management, engagement reporting, and care reimbursement.
• Participate in code reviews and technical design discussions to ensure high-quality maintainable data products
• Champion data governance and privacy practices, including anonymization standards and access controls.

We'd love to hear from you if you have

• At least 5 years of meaningful experience in a data or engineering role, with a strong interest in all things data
• Have experience with data modeling techniques (dimensional modeling, slowly changing dimensions, star schema) and building well-structured transformation layers in dbt and Snowflake .
• Familiarity with BI as code tools and Product-oriented thinking with the ability to understand business requirements and translate them into data models ready for consumption in BI tools
• Interest…