Data warehouse engineer • toronto on
An established global tech company in the B2B data and SaaS space is hiring a.Data Engineer, open to candidates in.You'll join a small, high-impact team that partners with business units across the... Show more
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Certified as a Great Place to work in 9 Countries in 2025.Received 25+ industry and partner awards in the past year.M+ total charitable contributions in 2024 by Insight globally.Now is the time to ... Show more
ABOUT ODAIA ODAIA noun o·da·ia | 'oh-day-yeah An Ancient Greek word referring to "ōdē", the word for song, and the root of melody, harmony, and orchestra.We chose it deliberatel... Show more
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Design and build scalable components of an enterprise data catalog, using automation to streamline data governance processes.Integrate enterprise data catalog with Databricks and other data platfor... Show more
Brossard, QC; Burlington, ON; Calgary, AB; Edmonton, AB; Fredericton, NB; Halifax, NS; Kitchener, ON; Laval, QC; Moncton, NB; Montreal, QC; Ottawa, ON; Quebec City, QC; Regina, SK; Saint John, NB; ... Show more
An established global tech company in the B2B data and SaaS space is hiring a full-time, fully remote Data Engineer, open to candidates in Ontario and British Columbia. You'll join a small, high-impact team that partners with business units across the company, from revenue and operations to corporate functions, to solve their data problems. The tech stack spans AWS and GCP and includes BigQuery, dbt, Fivetran, Databricks, Terraform, and Python.
This isn't a heads-down pipeline role, and it isn't a reporting role either. The team works like an internal consultancy. You'll sit down with a business group, learn what's actually slowing it down, then architect and build the fix. You pick the tools. Some problems call for Databricks, some for dbt, and some for a custom pipeline on AWS. The hiring manager wants a problem-solver with an analytics mindset: someone who listens first, translates a messy business ask into a clean technical solution, and owns it all the way into production. Because the work rotates across departments, you'll build broad multi-cloud experience fast and get visibility across the whole organization. If you've come from big tech or you've worn many hats at a startup, you'll feel right at home. The role is fully remote and comes with base salary, bonus, and equity..
Required Skills & Experience
· 3+ years of data engineering experience, with ownership of production pipelines
· Python or Go, plus strong SQL
· AWS and GCP, including BigQuery
· dbt
· Fivetran
· Databricks / Spark
· Terraform or another IaC tool
· Ability to scope problems with non-technical stakeholders and architect solutions end-to-end
· An analytics mindset: you understand how data will be used, even though you won't be building reports
Desired Skills & Experience
· Snowflake
· Airflow and S3
· CI/CD for data pipelines
· Experience handling sensitive data and access controls
· Big tech or startup background
What You Will Be Doing
Tech Breakdown
· 25% Python / Go
· 20% dbt / SQL
· 20% GCP (BigQuery) / AWS
· 15% Databricks / Spark
· 10% Fivetran / ingestion
· 10% Terraform
Daily Responsibilities
· 65% Hands On (architecting and building solutions)
· 25% Stakeholder & Team Collaboration
· 10% Production Monitoring & Support
The Offer
· 10% bonus eligible
· Equity grant
You will receive the following benefits:
· Medical, Dental, and Vision Insurance
· Vacation Time
· Equity
Current Vacancy: Yes
Use of AI in Hiring: Yes
Applicants must be currently authorized to work in the Canada on a full-time basis now and in the future.
