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 wide-ranging 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 (Coquitlam)
🏢 Petroglyph Development Group
📍 Coquitlam