Data Developer (Platform team) in Montréal, Quebec at Dialogue

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 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.

⚠️ Recruitment Fraud Notice

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 as Data Developer

We are seeking a Data Developer to join Dialogue's central Data Platform team. You will be a key technical contributor to the foundation that powers all data capability across the organization.

This role sits at the intersection of data engineering, data modeling, and data governance. You will be responsible for designing and maintaining the core infrastructure that enables teams across Dialogue to access clean, reliable, well-documented data from source ingestion through to curated, analytics-ready datasets.

What you'll be doing

As a Data Developer, you will serve as a technical anchor for data quality, pipeline reliability, and modeling best practices,empowering the organization to build confidently on top of shared data infrastructure.

You will design, build, and evolve the pipelines, transformation layers, and tooling that set the standard for how data flows and is governed across the organization.

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 into clean, analytics-ready layers.
• Design and maintain well-structured dbt data models across staging, intermediate, and mart layers—transforming raw source data into curated, documented datasets that are easy to understand and trust.
• Define and champion data modeling best practices (dimensional modeling, slowly changing dimensions, naming conventions) and serve as a resource for teams building on top of the platform.
• Develop and own batch and event-driven ingestion pipelines (Snowpipe, EventBridge) that bring data from across the business into Snowflake reliably and on schedule.
• Implement robust observability for data pipelines,structured logging, data quality checks, monitoring, and alerting, ensuring that data consumers are never left guessing about freshness or accuracy.
• Collaborate with data analysts and other data users to define shared metrics, resolve data quality issues, and continuously improve the accessibility and reliability of data.

We'd love to hear from you if you have

• Have strong experience with Snowflake (including Snowpipe, role-based access control, and data sharing) and dbt for data modeling and transformation.
• Are confident in data modeling techniques—dimensional modeling, slowly changing dimensions—and know how to build transformation layers that other people can actually build on top of.
• 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 with AWS services relevant to data pipelines (S3, EventBridge, Secrets Manager, and similar).
• Understand data governance, anonymization techniques, and the care required when working with health data in a regulated environment.
• Are genuinely excited about enabling other data users—you get satisfaction from building infrastructure that makes analysts and engineers across the company faster and more confident.
• Care about reliability and correctness as much as velocity, and gravitate toward systems that are simple, maintainable, and well-documented.

The Data Platform team is the foundation everything else is built on. As a Data Developer in this team, you are not just building pipelines,you are establishing the standards, patterns, and shared infrastructure that determine how well Dialogue as a whole can use data. Your work directly enables faster, better-informed decisions across product, operations, and care delivery. When the platform is solid, every data user in the company moves faster.

Please note that as we serve customers across Canada, bilingualism is an asset for this position. You may be required to communicate in French and English.

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
• Optional parental leave top-up