Senior Data Engineer / 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 [email protected].

About the Data Engineering team

As Canada's leading virtual care provider, Dialogue is committed to helping millions of individuals improve their health and well-being. There’s a lot of information to keep track of! The Data Engineering team collects, organizes, and secures data from our software architecture, making it available to drive health insights for clients and partners, efficiency for care operations, and strategic decision-making for our product development and leadership teams. On the Data Engineering team, you will find a friendly, collaborative atmosphere that empowers you to accelerate Dialogue’s mission with data.
Your role as a Senior Data Engineer / Developer
We are seeking a product-oriented Data Engineer / Developer to help us deliver more value with our growing data assets. 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, data scientists, other data developers, product managers and software developers to understand business requirements and translate them into robust data products. You will work within an agile framework, emphasizing rapid iteration and deployment while maintaining high standards of code quality and data integrity. Day to day, you will:

• Develop and maintain our data warehouse modelling, optimizing it for utility, extensibility, and performance using dbt and Snowflake
• Design and implement secure end-to-end data pipelines synchronizing data from multiple data sources using Python and Airflow
• Collaborate with cross-functional teams to understand data needs and deliver products that drive business value
• Participate in code reviews and technical design discussions to ensure high-quality, maintainable data products

We'd love to hear from you if you have:

• At least 2 years of meaningful experience in an data or engineering role, with a strong interest in all things data
• Hands-on experience conforming and modelling enterprise data in a data warehouse
• Product-oriented thinking with the ability to understand business requirements and translate them into data products
• 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
  

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