Senior Data Engineer – 100% Remote

Job Description Senior Data Engineer – Remote 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 What is in it for you: • 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. 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. What you will need to succeed: Required qualifications • 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. Preferred qualifications • 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. Three (3) professional references for similar work performed must be included with the resume. Why Recruit Action? Recruit Action (agency permit: AP-2504511) provides recruitment services through quality support and a personalized approach. As part of the screening process, some applications may be reviewed using artificial intelligence tools. Only candidates who meet the hiring criteria will be contacted.