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 toolsPreserve update history for confident point-in-time comparisonsDevelop features, training datasets, and search indexes for AICreate models and pipelines for dashboards,



reports, and exportsSet data contracts, freshness targets, and quality standardsRequirements:
Five or more years building production data pipelinesStrong Python and advanced SQL skillsDeep Postgres or relational database modeling experienceExperience normalizing messy, inconsistent real-world dataHands-on workflow orchestration, retries, dependencies, and backfillsBring pipeline ownership, data modeling, and quality engineering to Foresight's infrastructure intelligence platform.
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📌 Senior Data Pipeline Engineer (Winnipeg)
🏢 Foresight
📍 Winnipeg