Build complex data pipelines with Python and SQL Server while working onsite five days weekly alongside operational teams. Maintain extremely accurate reporting solutions and data systems.

As a Data Engineer, you will develop, test, deploy, and maintain ELT pipelines from diverse sources into SQL Server databases. You will design scalable data models, optimize warehouse queries, and support data infrastructure with Git and Terraform. The work includes data validation, CI/CD integration, documentation, and code reviews. You will also contribute to technical designs and stakeholder discussions.

Key Responsibilities

Develop and maintain ELT pipelines using Python and SQL Server Integration Services

Design data models and optimize the data warehouse

Validate data quality, integrity, and completeness through monitoring





Integrate CI/CD tools for pipeline deployment and monitoring

Review code and provide feedback on development practices

Requirements

Post-secondary education in a quantitative field or equivalent experience

Two years developing software, data, or cloud engineering solutions

Two years working on data engineering projects and ETL tools

Proficiency in Python and SQL, preferably Microsoft T-SQL

Azure or Microsoft on-premises experience preferred, not required

Apply your Python, SQL, warehousing, and pipeline expertise to high-accuracy data engineering delivered onsite.

📌 Data Engineer Python SQL Pipelines (Winnipeg)
🏢 Petroglyph Development Group
📍 Winnipeg