Reliability 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
Who We Are   At Roadpost, we've spent years building trust with people who need to stay connected beyond cell coverage, in the world's most remote places.That work led to ZOLEO,... Show more
Certificates, licences, memberships, and courses.Registration as a Professional Engineer (P.Eligible for registration as a Professional Engineer (P. Show more
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Our client, is seeking a talented and proactive Site Reliability Engineer (SRE) / Senior Database Platform Engineer to join their core Data Engineering and Operations team.In this engineering-focus... Show more
Due to Government of Canada regulatory requirements, this position requires the successful completion of a Government of Canada Reliability Status screening as a condition of employment.The screeni... Show more
Target Variable Performance Pa.The salary range shown above reflects the expected compensation for this position.The final salary offered will be determined based on a holistic assessment of the ca... Show more
DevOps Engineer About us TitanFile's mission is to democratize secure client communication.This is a challenge worthy of pursuit!.The costs and risks associated with complex projects like litigatio... Show more
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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.
