Job ID:26-13607Job Title:Data EngineerLocation:Edmonton, AB (Remote)Duration:1 Year Contract (with 24 Months of possible extension)Client:Public SectorPay Rate:CAD $85-$95 per hourOverviewWe are seeking a skilled and versatile Data Engineer to support digital transformation, service innovation, and program delivery initiatives. This role focuses on designing and building scalable data systems, enabling advanced analytics, and supporting data-driven decision‑making across multiple projects. The ideal candidate combines strong data engineering expertise with analytical capabilities to generate meaningful insights. You will work within cross‑functional teams using agile methodologies and modern data practices to deliver efficient, user‑focused solutions.Must HaveDesign, develop, and maintain scalable data pipelines across on‑premises and cloud platforms (Azure, AWS, GCP)Build and optimize dimensional data models (star and snowflake schemas) for reporting and analyticsDevelop and maintain ETL/ELT processes ensuring performance, reliability, and scalabilityIntegrate data from multiple sources including SQL, NoSQL, APIs, and flat filesDevelop and manage end‑to‑end data workflows using SSIS and Azure Data FactoryImplement monitoring, logging, error handling, and troubleshooting for data pipelinesManage data warehouses and data lakes with robust focus on governance, security,



and access controlAutomate deployments and testing using CI/CD pipelines and version control (Git)Collaborate with stakeholders to translate business requirements into technical solutionsDeliver curated datasets and data marts for self‑service analyticsAnalyze datasets to identify trends, patterns, anomalies, and actionable insightsDevelop dashboards and reports using Power BI (including DAX)Build descriptive and predictive models using Python, R, or statistical methodsCommunicate insights clearly to both technical and non‑technical stakeholdersSupport agile delivery of analytics and data solutionsEnsure data quality, governance, and security across systemsStrong hands‑on experience in SQL, Python and/or RSolid understanding of data architecture and ETL/ELT conceptsBachelor’s degree in Computer Science, IT, or related fieldMinimum 5+ years of experience in data engineering and/or data analyticsExperience working with cloud and on‑premises data environmentsProven experience in data migration across systemsPublic Sector experience is mandatoryNice to HaveExperience in application development (object‑oriented or functional programming)Familiarity with PostgreSQL, MongoDB, or other cloud‑native databasesExposure to AI/ML tools, frameworks, or workflowsExperience working in large‑scale, complex enterprise environmentsStrong exposure to advanced analytics or data science practicesExperience promoting data literacy and enabling self‑service analytics culture#J-18808-Ljbffr

📌 Data Engineer - Senior - C$85 - C$95 An Hour - Remote (Winnipeg)
🏢 Public Sector
📍 Winnipeg