emergiTEL is hiring a Senior Data Engineer for our client in the public sector / government services industry. This is a 12-month contract role.

Duration: 12 months Pay: $90/hr - $115/hr INC

Location: Edmonton, Alberta - Remote

Work Arrangement: Remote within Canada, with occasional meetings/work sessions in Edmonton

Industry: Public Sector / Government Digital Services Role Overview Our client is seeking a Senior Data Engineer to support modern digital transformation initiatives. The successful candidate will work within multidisciplinary Agile teams to design, develop, and maintain up-to-date data solutions that improve data quality, accessibility, analytics, and decision-making. The role combines data engineering, cloud platforms, data integration, analytics, reporting, and data governance.

Key Responsibilities - Design, build, and maintain scalable data pipelines across on-premises and cloud environments.

- Develop data solutions using Azure, Databricks, Microsoft Fabric, GCP, and AWS.
- Develop and optimize ETL/ELT processes using SSIS, Azure/Fabric Data Factory, Dataflows, and Notebooks.
- Build and maintain dimensional data models, including star and snowflake schemas.
- Integrate data from relational databases, NoSQL platforms, APIs, and files.
- Implement data validation, error handling, logging, monitoring, and scheduling.
- Optimize high-volume data processing and improve pipeline performance.
- Implement CI/CD practices for automated data pipeline deployment and operations.
- Support data lakes, data warehouses, security controls, access management, and data governance.




- Develop Power BI dashboards and reports using DAX.
- Analyze datasets to identify trends, patterns, and anomalies.
- Use Python and/or R for statistical analysis and predictive/descriptive modeling.
- Prepare curated data marts, fact tables, and dimension tables for analytics.
- Collaborate with architects, developers, business stakeholders, and product teams.
- Present complex data findings in a clear and actionable manner.
- Support Agile delivery and mentor teams on analytics and data practices.

Required Skills - Senior-level experience in Data Engineering.

- Strong experience with data pipelines and ETL/ELT.
- Experience with Azure, Databricks, Microsoft Fabric, or similar cloud platforms.
- Strong SQL and data modeling skills.
- Experience with Azure Data Factory/Fabric Data Factory, SSIS, Dataflows, or Notebooks.
- Strong understanding of data warehouses, data lakes, star/snowflake schemas, fact and dimension tables.
- Strong Power BI and DAX experience.
- Experience with Python and/or R.
- Experience with CI/CD and automated deployment.
- Experience integrating APIs, databases, NoSQL platforms, and files.
- Knowledge of data quality, governance, security, and access management.
- Strong communication and stakeholder-management skills.
- Experience working in Agile/multidisciplinary environments.

Additional

Information - The position is remote within Canada.

- The resource may occasionally be required to attend meetings or work sessions in Edmonton, Alberta, with reasonable notice.
- Some travel within Alberta may be required for field research or user interviews.

📌 Senior Data Engineer (Edmonton)
🏢 emergiTEL
📍 Edmonton