Analytics Engineer
You will build and scale data pipelines and reporting infrastructure to support decision-making across the company. You will also collaborate cross-functionally to design scalable data models and maintain pipeline health.
24 Analytics Engineer jobs in Canada available for remote work from home. Apply for positions such as Analytics Engineer, Analytics Engineer Toronto (Remote) , Senior/Staff Analytics Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will build and scale data pipelines and reporting infrastructure to support decision-making across the company. You will also collaborate cross-functionally to design scalable data models and maintain pipeline health.
The Analytics Engineer will build and maintain dbt models and AI-ready datasets to support business intelligence and data-driven decision-making. They will also partner with stakeholders to define key metrics and create Tableau dashboards to visualize data insights.
You will lead the evolution of the analytics engineering platform by building trusted, reusable data models and establishing technical standards. You will also partner with cross-functional teams to enable self-service analytics and improve data reliability across the organization.
You will design and maintain clean, scalable, production-grade data models while working across the full data pipeline from ingestion to visualization. You will collaborate with cross-functional teams including Finance, Engineering, and Sales to deliver reliable data solutions that support decision-making.
You will design and build data models for PlayStation games while collaborating with game studios and data analysts. Additionally, you will scale the analytics platform and implement technologies like dbt and airflow to ensure consistent and high-performance data pipelines.
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You will independently design and maintain high-quality dimensional data models and ETL pipelines to support marketing analytics. Additionally, you will partner with cross-functional teams to translate business needs into trusted datasets while ensuring data quality and pipeline performance.
You will design and maintain enterprise marketing data models and semantic layers while acting as a strategic bridge between business stakeholders and technical execution. Additionally, you will architect data ecosystems to support autonomous AI agents and ensure robust data governance across cloud platforms.
The role involves designing and maintaining robust data systems, semantic layers, and dashboards to enable self-service analytics. The candidate will collaborate with stakeholders to translate business needs into actionable insights and mentor junior analysts.
The role involves leading end-to-end analytics initiatives, setting standards for data models and pipelines, and partnering with Data Science and Product teams to solve complex monetization problems. You will also be responsible for architecting production-grade SQL pipelines and enabling self-serve analytics through high-quality dashboards.
You will own the data layer and design the analytics architecture, including a tiered platform for system of record, low-latency serving, and batch/ML processing. You will also be responsible for database performance, schema modeling, and implementing observability to ensure system reliability.
The Senior Analytics Engineer will build and scale the analytical foundation by transforming raw data into clean, trustworthy datasets for cross-functional teams. They will also design AI-ready data infrastructure and maintain semantic layers to support autonomous decision-making and AI-powered initiatives.
You will build and operate the core BI platform, owning data ingestion, integration, and architecture to support reporting and AI initiatives. Additionally, you will establish data governance standards, mentor analytics engineers, and ensure the reliability of data models and pipelines.
The role involves evolving foundational data infrastructure to support the finance department, managing the end-to-end analytics pipeline from ingestion to reporting. You will collaborate with business and engineering teams to design schemas and promote software engineering best practices across the organization.
Guide the design and implementation of a unified data collection platform using Golang, Kubernetes, and ClickHouse to track product usage. Mentor other engineers and collaborate across teams to improve data quality and instrumentation reliability.
Design, build, and maintain curated datasets and metric definitions to ensure reliable, consistent reporting across the organization. Partner with stakeholders to translate business requirements into data models while documenting logic for both human and AI-powered query tools.
The Senior Analytics Engineer will build complex data infrastructure using dbt and Snowflake while implementing scalable ELT pipelines and governance frameworks. They will also provide technical guidance, conduct code reviews, and mentor junior team members to ensure high-quality data solutions.
Lead the design, development, and implementation of SAP-based data and analytics solutions, focusing on SAC and S/4HANA. Create data models and professional dashboards to provide insightful data presentation for C-level executives and department heads.
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You will own the end-to-end delivery of complex infrastructure projects and operate shared Elastic Cloud infrastructure using Infrastructure as Code. Additionally, you will participate in a 24/7 on-call rotation to resolve incidents and mentor less experienced engineers to improve team processes.
You will act as a technical expert for client-facing engagements, designing and delivering scalable data architectures on the Google Cloud Platform. The role involves collaborating with sales teams to guide enterprise clients through cloud adoption and managing technical discovery and proof-of-concept initiatives.
Build and operate core platform capabilities for Affirm's data infrastructure, focusing on reliability, self-service automation, and data governance. Develop integrations and next-generation AI-native data tooling to support large-scale analytical use cases.
Design and build LLM-powered systems to transform how data practitioners interact with data through natural-language access and AI-assisted SQL. Develop end-to-end agentic workflows, retrieval systems, and quality evaluations to embed AI capabilities across the data infrastructure ecosystem.
Build highly scalable, distributed real-time micro-services using Go to power reporting, billing, and analytics. Transform foundational data into customer-facing insights through the development of pipelines and APIs.
You will lead large, strategic projects, design scalable system architectures, and mentor fellow engineers. Additionally, you will build and ship end-to-end product features while collaborating with cross-functional teams in an Agile environment.
You will lead the roadmap, architecture, and team responsible for the trusted data foundations that power 1Password’s business. This involves setting standards for data modeling, governance, and BI tooling while partnering with cross-functional leaders to support company-wide decision-making and AI initiatives.
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