Build trustworthy data pipelines at Foresight using Python, advanced SQL, and production-grade workflow orchestration. Preferred locations include New 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 recent 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 (Montreal)
🏢 Foresight
📍 Montreal