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.

📌 Senior Data Pipeline Engineer (Winnipeg)
🏢 Foresight
📍 Winnipeg