Enable job alerts via email!

Staff Data Engineer / Developer

Dialogue

Montreal

On-site

CAD 90,000 - 120,000

Full time

Today
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A leading virtual care provider in Montreal is looking for a Staff Data Engineer / Developer to lead their analytics team. You will collaborate closely with data analysts and other developers to design data products that drive business value. The ideal candidate has at least 4 years of experience in data engineering, strong leadership skills, and a commitment to high standards of code quality. This position offers a hybrid work model and extensive benefits including insurance coverage and vacation days.

Benefits

Access to virtual mental health support
Fully funded insurance and dental coverage
4 weeks vacation and wellness days
Hybrid work model
Learning via Coursera

Qualifications

  • At least 4 years of meaningful experience in a data engineering role.
  • Hands-on experience conforming and modelling enterprise data in a data warehouse.
  • Product-oriented thinking to translate business requirements into data products.
  • Strong communication skills to explain technical concepts.

Responsibilities

  • Provide technical leadership for a team of data developers.
  • Oversee the development and maintenance of data warehouse modelling.
  • Design and implement secure end-to-end data pipelines.
  • Collaborate with cross-functional teams to understand data needs.

Skills

Data warehouse modelling
Python
Airflow
Coaching or mentoring
Communication skills
Job description

Dialogue is the #1 virtual care provider in Canada. By developing our Integrated Health Platformđź…«, 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

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.

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 Staff Data Engineer / Developer

We are seeking a product‑oriented Staff Data Engineer / Developer to help our analytics data engineering team deliver more value with our growing data assets. In particular, we’re interested in candidates with experience leading the development of 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:

  • Provide technical leadership for a team of data developers by course‑correcting our data architecture, setting priorities, and coaching individual contributors.
  • Oversee the development and maintenance of 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 products.

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

  • At least 4 years of meaningful experience in a data engineering role.
  • 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.
  • Experience in coaching or mentoring other engineers. You enjoy contributing to a culture of continuous improvement.
  • Strong communication skills and the ability to explain technical concepts and ideas to both technical and non‑technical audiences.
  • Experience in a tech lead position preferred, but not required.
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.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.