Senior Data Engineer – 100% Remote

Recrute Action • Edmonton, AB

19h • CA$80 - CA$117 • Remote

About The Position

Join a major Alberta public sector organization that is expanding its team with 10 openings to support high-profile data and modernization initiatives. Work alongside multidisciplinary teams to develop modern solutions, leverage emerging technologies, and contribute to projects that deliver value on a provincial scale.

Requirements

• Bachelor degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field.
• 5 years of experience as a Data Engineer and/or Data Analyst.
• 5 years of experience in Python, including PySpark, and SQL.
• 4 years of experience in Business Intelligence and Executive Reporting, including executive dashboards.
• 4 years of experience with Cloud or Hybrid Data Platforms and cloud modernization initiatives.
• 4 years of experience in Data Warehouse and Lakehouse Design.
• 4 years of experience with ETL processes and tools.
• 2 years of experience in Data Migration and Modernization.

Nice To Haves

• 1 year of experience with AI-Assisted Development Tools and Practices.
• 2 years of experience with DevOps, CI/CD, and Infrastructure as Code.
• 1 year of experience with modern data technologies such as Microsoft Fabric.
• 2 years of experience supporting enterprise-scale public sector environments.

Responsibilities

• Design, build, and maintain scalable data pipelines across on-premises and cloud platforms, including Azure, Databricks, Microsoft Fabric, GCP, and AWS.
• Develop, optimize, and maintain data models, including dimensional models such as star and snowflake schemas.
• Integrate data from relational databases, NoSQL platforms, APIs, and files using data integration techniques, including intelligent data mapping, schema discovery, metadata enrichment, and automated data quality validation.
• Enhance ETL/ELT processes through optimization, automation, and performance tuning.
• Develop and operate end-to-end ETL/ELT workflows using tools such as SSIS, Azure/Fabric Data Factory, Dataflows, and Notebooks.
• Implement data validation, error handling, logging, monitoring, and scheduling processes.
• Automate data pipeline deployment and operations through CI/CD practices, automated testing, release management, and monitoring.
• Support enterprise data platform management and governance, including data lakes, data warehouses, security controls, and access management.
• Collaborate with architects, developers, and stakeholders to translate requirements into technical solutions.
• Prepare curated data marts and fact and dimension tables to support analytics.
• Analyze datasets to identify trends, patterns, and anomalies.
• Apply statistical methods, DAX, Python, and R to generate business insights.
• Develop interactive Power BI dashboards and reports, including calculated columns and measures.
• Build predictive and descriptive models using statistical, Python, or R-based machine learning methods.
• Present findings to non-technical audiences and translate complex data into actionable insights.
• Deliver analytics solutions within an Agile environment.
• Support analytics adoption and self-service capabilities.
• Provide data-driven analysis, visualizations, and AI-enabled insights to support priorities and strategic initiatives.

Benefits

• Salaried: $80-100 per hour.
• Incorporated Business Rate: $101-117 per hour.
• 12-month contract with a maximum extension term of 24 months.
• Full-time schedule of 36.25 hours per week.
• Occasional travel within Alberta may be required to support field research and user interviews.
• Remote work arrangement. All work must be performed within Canada.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior