data engineer

<span id="spandesc"><div><b>Senior Data Engineer ? Remote<br/></b></div><div><br/></div><div>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<br/></div><div><br/></div><div><b>What is in it for you:</b><b><br/></b></div><div><br/></div><div>? Salaried: $80-100 per hour.<br/></div><div>? Incorporated Business Rate: $101-117 per hour.<br/></div><div>? 12-month contract with a maximum extension term of 24 months.<br/></div><div>? Full-time schedule of 36.25 hours per week.<br/></div><div>? Occasional travel within Alberta may be required to support field research and user interviews.<br/></div><div>? Remote work arrangement. All work must be performed within Canada.<br/></div><div><br/></div><div><b>Responsibilities:</b><b><br/></b></div><div><br/></div><div>? Design, build, and maintain scalable data pipelines across on-premises and cloud platforms, including Azure, Databricks, Microsoft Fabric, GCP, and AWS.<br/></div><div>? Develop, optimize, and maintain data models, including dimensional models such as star and snowflake schemas.<br/></div><div>? 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.<br/></div><div>? Enhance ETL/ELT processes through optimization, automation, and performance tuning.<br/></div><div>? Develop and operate end-to-end ETL/ELT workflows using tools such as SSIS, Azure/Fabric Data Factory, Dataflows, and Notebooks.<br/></div><div>? Implement data validation, error handling, logging, monitoring, and scheduling processes.<br/></div><div>? Automate data pipeline deployment and operations through CI/CD practices, automated testing, release management, and monitoring.<br/></div><div>? Support enterprise data platform management and governance, including data lakes, data warehouses, security controls, and access management.<br/></div><div>? Collaborate with architects, developers, and stakeholders to translate requirements into technical solutions.<br/></div><div>? Prepare curated data marts and fact and dimension tables to support analytics.<br/></div><div>? Analyze datasets to identify trends, patterns, and anomalies.<br/></div><div>? Apply statistical methods, DAX, Python, and R to generate business insights.<br/></div><div>? Develop interactive Power BI dashboards and reports, including calculated columns and measures.<br/></div><div>? Build predictive and descriptive models using statistical, Python, or R-based machine learning methods.<br/></div><div>? Present findings to non-technical audiences and translate complex data into actionable insights.<br/></div><div>? Deliver analytics solutions within an Agile environment.<br/></div><div>? Support analytics adoption and self-service capabilities.<br/></div><div>? Provide data-driven analysis, visualizations, and AI-enabled insights to support priorities and strategic initiatives.<br/></div><div><br/></div><div><b>What you will need to succeed:</b><b><br/></b></div><div><b><br/></b></div><div><b>Required qualifications</b><br/></div><div><br/></div><div>? Bachelor degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field.<br/></div><div>? 5 years of experience as a Data Engineer and/or Data Analyst.<br/></div><div>? 5 years of experience in Python, including PySpark, and SQL.<br/></div><div>? 4 years of experience in Business Intelligence and Executive Reporting, including executive dashboards.<br/></div><div>? 4 years of experience with Cloud or Hybrid Data Platforms and cloud modernization initiatives.<br/></div><div>? 4 years of experience in Data Warehouse and Lakehouse Design.<

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20 août 2026