AWS Data Engineer building Salesforce pipelines and analytics infrastructure powers Kindsight’s customer-facing products through production data systems.

As a hands-on Data Engineer, you will ingest customer data into AWS and transform it through warehouses supporting dashboards and AI-driven insights. You will work with Salesforce environments, dbt, advanced SQL, Python, and cloud services. The position spans batch loads, change data capture, dimensional modeling, quality validation, and pipeline operations.

Key Responsibilities

Build ELT pipelines from customer Salesforce environments into AWS

Develop dbt transformations and dimensional warehouse models

Optimize SQL across large multi-tenant datasets

Implement monitoring, reconciliation, and automated data quality checks

Investigate data issues from source through reported results

Requirements

Three-plus years building production data pipelines

Advanced SQL with query tuning and complex joins

Two-plus years of hands-on AWS experience

Two-plus years with dbt or equivalent frameworks

Solid Python, Git workflows, and CI/CD experience

Apply advanced SQL, AWS, Python, and Salesforce data engineering skills to Kindsight’s analytics platform.

📌 AWS Data Engineer Salesforce Pipelines (Winnipeg)
🏢 Kindsight
📍 Winnipeg