Senior Data Developer

dialogue-en; Montreal (administrative region); Hybrid; CAD 110,000 - 140,000; Full time

Benefits offered by this job

Hybrid work

4 weeks vacation

Wellness days

Volunteer day

RRSP matching

Job summary

Dialogue seeks a Senior Data Developer to advance its cloud data platform. You will design and evolve structured data warehouses, work with dbt and Snowflake, and translate business needs into scalable data product features within an agile team.

You will collaborate with data analysts, full‑stack developers, and product managers to build robust data pipelines, ensure observability, governance, and privacy, and contribute to a culture of continuous improvement. Hybrid work in Montreal is offered.

Qualifications

• 5+ years in data/engineering roles with interest in data product
• Familiarity with dimensional modeling, slowly changing dimensions, star schema
• Experience building transformation layers in dbt and Snowflake
• BI as code tools familiarity; translate requirements into data models
• Interest in teamwork and knowledge sharing
• Understanding of data governance and privacy when handling health data

Responsibilities

• Develop and maintain data warehouse modelling for staging, intermediate, and mart layers
• Implement data observability: logging, quality checks, freshness monitoring, alerts
• Own batch and event-driven data pipelines powering eligibility management and reporting
• Participate in code reviews and design discussions for maintainable data products
• Champion data governance and privacy practices including anonymization and access controls

Skills

Data modeling

Product‑oriented thinking

Strong communication

Team collaboration

Reliability and data accuracy

Data governance

Tools

dbt

Snowflake

Job description

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 [e-mail].

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.

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, EventBridge) 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 in team collaboration and knowledge sharing. You enjoy contributing to a culture of continuous improvement
• Strong communication skills and the ability to explain technical concepts and ideas to your colleagues
• Understand data governance, anonymization techniques, and the sensitivity required when handling health data in a regulated environment.
• Care about reliability and correctness as much as velocity, and enjoy building systems that are simple, maintainable, and measurable.

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