Roles remotos de TI para candidatos en Canadá.

A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems

Design, develop, and maintain scalable data pipelines.

Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.

Lead the creation and optimization of existing data models through AI code generation on eventing, customer level, and process level data.

You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact – helping to keep the lights on, get food into grocery stores, and most importantly

You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.

Build the pipes: You’ll build and manage our business data pipelines as well as transform Firefox telemetry data into structured high quality datasets Mozillians can rely on

Design and deliver product data products on Databricks — owning ingestion, transformation, and serving layers across the medallion architecture (bronze/silver/gold) to produce certified datasets consumed across product, analytics

Own the gold data layer. Transform messy, silver tables into curated, semantically rich, clean and documented gold datasets suitable for AI model development, including datasets and features reusable for AI development across projects.

Knowledge of Azure cost drivers (AWS/GCP is a plus).- Ability to prioritize initiatives by ROI and business impact.- Strong problem-solving and execution in fast-paced environments.

Drive AI-First Development: Embed AI-assisted development tools (Cursor, Claude, GitHub Copilot) into your daily workflow to accelerate code generation, automate testing, and elevate delivery velocity.

Lead the architecture and development of scalable, secure, and cost-efficient data platforms on AWS.

Team Leadership & People Management: Lead, manage, and grow a distributed team of data engineers (across North America and India) who report directly to you.

Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.

Independently challenge model owners across lending, fraud, and AML: reproduce their results, set and defend the acceptance thresholds, and own the call on whether a model is sound.

Build and ship full SEO and AEO features end-to-end with minimal oversight, from development through experimentation and rollout.

Technical leadership and roadmap

You will be part of a small, ambitious team with a large amount of ownership and surface area, contributing directly to the AI-for-Data charter at Instacart.

Program Operations: Operate the QA cadences end-to-end — daily anomaly standups, weekly quality reviews, monthly business reviews, and quarterly rubric calibration sessions.

Own analytical frameworks that guide the product roadmap.

Architect and evolve Affirm's lakehouse analytics platform, driving strategy around Snowflake, Apache Iceberg, and Spark to deliver scalable, high-performance analytical infrastructure.

Architect and evolve Affirm's lakehouse analytics platform, driving strategy around Snowflake, Apache Iceberg, and Spark to deliver scalable, high-performance analytical infrastructure.

You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly