Senior Data Pipeline Engineer
3 days ago
Winnipeg, Manitoba, Canada
Foresight
Full-time
Free with email or Google
Save this job and keep your search organized
Create a free account to save jobs, create alerts and return to this listing from your dashboard.
Free with email or Google
By continuing, you agree to our Terms & Privacy Policy.
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 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.
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.