The Senior Data Engineer will architect and build scalable data systems, ensuring quality and accessibility of data for B2B products, while collaborating with engineers, product managers, and data scientists.
ARE YOU INTERESTED IN A WORKPLACE THAT HAS...
Flexible Work Environment 💻
Retirement Savings Matching Plan (RRSP). Plan for your future with us! 💸
Personal Spending Account 💰
Up to $500 to spend on anything related to physical, mental or financial well-being (in addition to your Health Care Spending Account)
17 Paid Days Off (in addition to 13 Personal Days) 🌅
This includes an extra day off during the month of your birthday 🍰- our gift to you!
An IDEAS (Inclusion, Diversity, Equity, Awareness, Solidarity) team ⚖️
Weather is inclusive, we will be too. Our IDEAS team is committed to making this happen!
📣HAVE WE GOT YOUR ATTENTION? WANT TO LEARN MORE?
Read about us here! (spoiler alert… we are the home of The Weather Network )📍
WHY WE NEED YOU? GLAD YOU ASKED...
At Pelmorex, we’re on a mission to transform weather and environmental data into decision-grade insights for businesses and consumers. Our B2B products help organizations make smarter, safer, and more profitable decisions.To support this mission, we’re growing our Engineering Insights team and investing in a scalable data analytics and insights platform. We’re looking for a Data Engineer who doesn’t just move data, but understands how data quality, latency, and design decisions directly impact products, customers, and business outcomes.
The Opportunity
You will play a foundational role in architecting and building the data systems and analytics capabilities that power multiple B2B products. Your work will directly shape how data is ingested, validated, transformed, and consumed across our B2B product portfolio, ensuring it is reliable, scalable, and decision-ready for our customers. In this role, you’ll collaborate closely with a small, entrepreneurial team of Engineers, Product Managers, and Data Scientists to turn raw data into real-world impact.
Please note, we are only considering candidates who are eligible to work in Canada and are located in either Greater Toronto Area (GTA) or Montreal.
WHAT DOES THE DAY-TO-DAY LOOK LIKE
- Architect for Scale: You'll define the blueprints for high-scale systems where quality and latency are the primary constraints.
- Build the Backbone: You will engineer robust pipelines using a cutting-edge stack including Ray, Snowpark, and Apache Beam.
- Master Workflow Orchestration: You will design and operate sophisticated workflows and intelligent scheduling strategies leveraging Apache Airflow, Snowflake Tasks, and Google Workflows.
- Power Data Access: You will design and build scalable backend APIs and services in Node.js and Python to deliver reliable, well-defined data to internal and external systems.
- Optimize Global-Scale Storage: You will design and fine-tune high-performance storage solutions across BigQuery, Snowflake, PostgreSQL, Cloud Spanner, and GCS, optimizing for cost, performance, and reliability.
- Own Production Systems: You will build CI/CD pipelines, implement observability and monitoring, and own production systems to ensure data integrity and platform health.
WE ARE HOPING YOU HAVE
- Experience & Ownership - 5+ years of professional experience in Data Engineering and Backend Engineering with demonstrated ownership of production systems.
- Data Mastery - Deep understanding of ETL/ELT patterns, data modeling, partitioning strategies, idempotent pipeline design, and cost-aware storage design and compute optimization.
- Backend Proficiency - Experience designing and building RESTful APIs, handling authentication and authorization, and optimizing queries across relational and NoSQL databases.
- Cloud Expertise - Proven ability to deploy and manage production workloads in the cloud (e.g., GCP) including a solid grasp of IAM, managed services, serverless, and containerized compute.
- Technical Leadership - Proven ability to lead design discussions, influence technical direction, mentor teammates, and collaborate effectively with cross-functional partners.
- Engineering Rigor Strong commitment to code and data quality, unit/integration testing, CI/CD, documentation, and owning systems from development to production support.
NICE TO HAVE
- Machine Learning - Experience with supervised/unsupervised learning, feature engineering, distributed training and serving models at scale.
- Cloud Architecture - Familiarity with cloud networking, VPC design, security best practices, and infrastructure-as-code (e.g., Terraform).
OUR PROMISE TO YOU...
We’re highly focused on doing the right thing.
We’ll discuss issues and timelines professionally, so you have the time you need to do the best work you can
You will see the result of your work pushed out to real users quickly
We’re a team that enjoys learning new technologies and we’re open to trying new things
We’ll try our best not to bog you down with boring meetings
Weather inspires, protects, and transforms. For 35+ years, Pelmorex has led the way with trusted forecasts and alerts. With innovation at our core, we provide precision, speed, and unmatched reliability—safeguarding lives, powering decisions, and driving business success. Whatever the weather, we turn its potential into action. We’re Pelmorex. Imagine it and we’ll deliver it.
Fair and Authentic Interview Experience
We welcome candidates using AI tools to prepare for interviews or to learn more about Pelmorex. During the interviews themselves, we expect responses to come from your own experience and thinking.
We ask that candidates not use real-time AI assistance, live answer prompts, or automated response tools during interviews. This helps ensure a fair process for everyone and allows us to evaluate how you approach problems and communicate in your own voice.
Top Skills
Apache Airflow
Apache Beam
BigQuery
Cloud Spanner
Gcs
Google Workflows
Node.js
Postgres
Python
Ray
Snowflake
Snowpark
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