Data Developer

Montréal, QC
Hybrid
Posted Sep 3, 2026
1 position

Opens an external site

Employment type: Full-time
Experience level: Mid-level · 3+ years
Posting language: English
Working hours: 40 hours per week
Office presence: 3 days per week

Job summary

You will develop and maintain data warehouse modeling and build robust, scalable data pipelines to transform raw data into curated datasets. Additionally, you will implement observability for data quality and collaborate with cross-functional teams to translate business requirements into effective data products.

Job details

Your role as Data Developer We are seeking a product-oriented 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 3 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

What you’ll do

Requirements

Candidates must have at least 3 years of experience in a data or engineering role with strong proficiency in dimensional modeling and dbt. You should also possess excellent communication skills and a solid understanding of data governance and privacy practices in a regulated environment.