Remote Data Jobs · Canada

You will work with Engineers, Data Scientists, Managers, and others to understand their needs, and actively work to build datasets to tackle these challenges. Collaboratively refine and evangelize a comprehensive framework for integrating data-thinking into the software development lifecycle for product teams. Design, architect, and maintain core marketing datasets, data marts, and feature stores that support a blend of mature products and features. Drive data quality and best practices across different business areas.

We are seeking a Senior Big Data Engineer with deep expertise in distributed systems, batch data processing, and large-scale data pipelines who has hands-on experience with Oozie, Pig, the Apache Hadoop ecosystem, and programming proficiency in Java (preferred) or Python. This role requires a deep understanding of data structures and algorithms, along with a proven track record of writing production-grade code and building robust data workflows.

Hands-on Analytics Engineer who thrives in fast-moving, high-complexity environments and enjoys bringing clarity to ambiguity. You’ll join a growing data team with many open, high-impact challenges across billing, finance, product, GTM, and business operations. You’re someone who asks thoughtful questions, goes deep to understand how things work, and loves transforming loosely defined user problems into scalable, reliable data solutions.

This role is crucial to Redzone's continued growth, focusing on leveraging performance data from our existing customer base to prove and expand our impact across customer networks. The ideal candidate is a strategic thinker with a strong analytical background, exceptional data visualization skills, and a passion for connecting operational efficiency to financial results.

Develop electrical system ontology for data centers which will be used to organize customer’s system data in a way where it can be used by AI & LLMs for customer facing products and services. Create and utilize tools to continuously monitor system telemetry from sensors, smart meters, and facility management systems to detect early signs of equipment degradation to help prevent service disruptions. Develop and deploy advanced anomaly detection models using machine learning and statistical methods to identify irregularities in power usage, voltage stability, cooling performance, UPS/battery behavior and more.

The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful, enabling data-driven decisions and customized customer experiences. As a Senior Data Engineer, you’ll build reliable, scalable, and high-quality data systems. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.

Looking for an analytics-focused Data Engineer to join our expanding data department, focusing on the operationalization and enrichment of our core data products. This individual will play a key role within our Data Engineering team and requires familiarity with common data processing tools and languages, and adherence to data governance best practices.

Embark on an exciting journey into data engineering and architecture. As a Data Architect you will be at the heart of the organization and support clients to take control of their data and get value out of it by defining a reference architecture for our customers. Work closely with business leaders and information management teams to define and implement a roadmap on data architecture, data management, business intelligence or analytics solutions.

Lead, coach, and mentor a high performing team of data scientists, analysts, and associates dedicated to Finance data science and Market risk initiatives. Deliver high-quality financial metrics and advanced analytics to support key decisions related to financial planning, treasury operations, and liquidity management. Develop and maintain the finance data mart, with a focus on optimizing data quality, accessibility, and efficiency.

You will be responsible for building robust, efficient and integrated data models that enable our fraud analytics and machine learning. These core data models will serve as the foundation of our fraud strategy, allowing the team to monitor and detect fraud trends, build machine learning models, and launch new fraud defenses. In this role, you will have the opportunity to: Build data models in the cloud data warehouse that will be used as the source of truth for analytics and predictive modelling.