Duration: 12 month contract + possible extensionsData Engineer to support a large enterprise transformation focused on building data pipelines, integrating data, and migrating data workloads from on-premises environments to AWS.
This person should be technically strong in Python and SQL, have hands-on AWS migration experience, and be comfortable partnering directly with business stakeholders. Experience with Machine Learning and MLOps is a robust plus, particularly supporting models through integration and production environments.
Design, develop, and maintain data pipelines.
Migrate existing data pipelines and workloads from on-premises infrastructure to AWS.
Gather, integrate, transform, and prepare data from multiple sources.
Use Python and SQL extensively for data development and manipulation.
Support integration of data into existing enterprise platforms and applications.




Partner with business and technical stakeholders to understand requirements and translate them into technical solutions.
Support ML/MLOps integration into production environments where applicable.
Communicate technical concepts clearly to both technical and non-technical stakeholders.
Advanced SQL skills.3+ years of Data Engineering experienceHands-on experience developing and migrating data pipelines.
Proven experience migrating data/workloads from on-premises environments to AWS.
Strong hands-on experience working within the AWS ecosystem.
Experience integrating and transforming data from multiple sources.
Artificial intelligence tools are used to assist in screening and assessing applicants for this position.*Pay range for this role is between $85-89/hr CAD.*No requirement for Canadian experience or education. #

📌 Data Engineer (Winnipeg)
🏢 Insight Global (United States)
📍 Winnipeg