Data Developer (Client Experience)

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

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 accessibility@dialogue.co.

AI Disclosure Statement

To ensure an efficient and fair review process, we utilize artificial intelligence tools to assist in the initial screening and assessment of applicants for this role. Dialogue only contacts candidates through official @dialogue.co email addresses. We never request payment, gift cards, or personal financial information at any stage of hiring, and we never extend an offer without a structured interview process. All open roles are listed exclusively at dialogue.co/en/careers. If you receive a suspicious communication claiming to be from Dialogue, do not respond — report it to jobs@dialogue.co and verify the role on our official careers page.

Your role asData Developer

We are seeking a Data Developer to join Dialogue’s Client Stream team. You will be a key contributor to the technical implementation of our client-facing data pipelines, powering the systems that enable seamless data integration with large partners so that we can monitor and improve patient care across every Canadian jurisdiction.

This role sits at the intersection of data engineering, data governance, and backend productionization. You will be responsible for building and maintaining the pipelines that allow our team to share anonymized, curated datasets with partners, enabling continuous monitoring of product performance, real-time eligibility management, and reimbursement processing. These systems make our product better, offer faster care to our members, and reduce out-of-pocket costs for them.

What you’ll be doing

• As a Data Developer, you will serve as the bridge between backend development, data analytics, and client operations, ensuring that data-sharing workflows are reliable, observable, and production-ready.

You will design and maintain the pipelines, data architectures, and tooling that enables reliability and flexibility, strong data governance, and continuous improvement of our client data-sharing capabilities.

Day-to-day you will:

• Build and maintain data pipelines in Snowflake using dbt for transformation and Airflow for orchestration, ensuring data flows reliably from source systems to partner-facing datasets.
• Design and maintain data models in dbt across staging, intermediate, and mart layers, transforming raw source data into curated, well-documented datasets ready for partner consumption and SOW reporting and data products.
• Design and implement Snowflake Secure Data Sharing configurations to provide partners with governed and anonymized data.
• Develop and own batch and event-driven data pipelines (Snowpipe, EventBridge) that power eligibility management, engagement reporting, and care reimbursement.
• Implement robust observability for data pipelines—structured logging, data quality checks, freshness monitoring, and alerting—to ensure shared data is accurate and delivered on schedule.
• Manage data infrastructure as code using Terraform (Snowflake roles, warehouses, schemas, and access policies), ensuring reproducibility and auditability.
• Collaborate with data analysts to define and validate reporting metrics (engagement volume, conversion rates, bounce rates) against requirements, ensuring data accuracy before it reaches partners.
• Champion data governance and privacy practices, including anonymization standards, access controls, and compliance with Canadian health data regulations.

We’d love to hear from you if you have

• Have strong experience with Snowflake (including Secure Data Sharing, Snowpipe, and role-based access control) and dbt for data modeling and transformation.
• Have experience with data modeling techniques (dimensional modeling, slowly changing dimensions, star schema) and building well-structured transformation layers in dbt and Snowflake.
• Are proficient with workflow orchestration tools such as Airflow, and comfortable building and maintaining production DAGs.
• Bring solid software engineering fundamentals—version control (Git), CI/CD, testing, observability, and infrastructure-as-code (Terraform).
• Have experience working with AWS services relevant to data pipelines (S3, EventBridge, Secrets Manager, Pinpoint or similar event streaming platforms).
• Understand data governance, anonymization techniques, and the sensitivity required when handling health data in a regulated environment.
• Are comfortable collaborating closely with data analysts, developers, and operational stakeholders in a cross-functional product environment.
• Care about reliability and correctness as much as velocity, and enjoy building systems that are simple, maintainable, and measurable.
• Thrive in environments where your work directly powers real-world operational decisions and partner-facing commitments.

At Dialogue, your well-being is our priority

Taking care of others also means taking care of our team! Depending on your role and employment status , you could have access to the following benefits:

• Access to the Dialogue app and virtual mental health support for you and your family
• Fully funded insurance, a health spending account, dental coverage, and fitness reimbursement
• 4 weeks vacation, 9 wellness days, and 1 volunteer day
• Hybrid work: 3 days/week in our Montreal or Toronto offices, excluding remote roles
• Work abroad up to 4 weeks/year
• Incentive plans, referral bonuses & RRSP matching
• Learning via Coursera, external training budget & mentorship

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