Build trustworthy data pipelines at Foresight using Python, advanced SQL, and production-grade workflow orchestration. Preferred locations include Recent York, San Francisco, and Montreal.
As a Senior Data Engineer, you will build Foresight's data foundation for predictions, AI recommendations, analytics, and customer reporting. You will own production pipelines from source to consumer while shaping standards on a new team. The work includes project data ingestion, modeling, observability, and governance.
Key Responsibilities: Build robust pipelines from industry scheduling and planning tools
Preserve update history for confident point-in-time comparisons
Develop features, training datasets, and search indexes for AI
Create models and pipelines for dashboards,



reports, and exports
Set data contracts, freshness targets, and quality standards
Requirements: Five or more years building production data pipelines
Strong Python and advanced SQL skills
Deep Postgres or relational database modeling experience
Experience normalizing messy, inconsistent real-world data
Hands-on workflow orchestration, retries, dependencies, and backfills
Bring pipeline ownership, data modeling, and quality engineering to Foresight's infrastructure intelligence platform.

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📌 Senior Data Pipeline Engineer (Quebec City)
🏢 Foresight
📍 Quebec City