Data Engineer – Senior

Data Engineer – Senior Client: Government of Alberta – Technology and Innovation Project: Digital Regulatory Assurance System (DRAS) Location: Edmonton, Alberta Work Location: 9942 – 108 ST, Edmonton, AB T5K 2J5 Contract & Schedule Hours: 36.25 hours/week Daily Hours: 7.25 hours/day Working Hours: 8:15 AM – 4:30 PM Alberta Time, Monday–Friday Work Mode: Primarily Remote Onsite: Edmonton meetings approximately 3–4 times per fiscal month or more, as required Work Location Restriction: Resource must work from within Canada.

Extension: Up to 6 months Role Overview The Data Engineer will support the DRAS modernization initiative , designing, building, and operating reliable data pipelines and data products. The role focuses on integrating data into the Data Management Platform, applying transformations, ensuring data quality and governance, and producing trusted analytics-ready datasets.

Key Responsibilities

Design scalable and secure Azure data architectures Develop data pipelines using Azure Data Factory, Azure Databricks and Azure Synapse Manage Azure Data Lake Storage Gen2 Integrate data from systems such as Service. Now and geospatial platforms Build data models, semantic layers, data marts and analytics-ready datasets Develop ETL/ELT workflows using Python, Py.

Spark and SQL Work with Azure API Management and REST APIs Implement data governance, metadata, classification and lineage Apply security controls including RBAC, encryption and data masking Monitor and troubleshoot pipelines for reliability and performance Use AI/automation tools for code generation, testing, monitoring and documentation Develop standardized datasets supporting analytics and future AI use cases.

Requirements

Must-Have Qualifications Requirement Experience Computer Science or related post-secondary education Required Data solutions for trusted, analytics-ready datasets, semantic layers/data marts/data products 3+ years Git/GitHub version control 4+ years Azure Storage, SQL, Synapse, networking & secure authentication 3+ years Python/Py.

Spark & SQL for Data Engineering 5+ years Azure Databricks & Delta Lake 3+ years AI for code generation, data analysis and automation 1+ year Nice-to-Have Data/business requirements analysis – 6 years Microsoft SQL Server – 6 years Microsoft Fabric – 2 years Government of Alberta Cloud data products – 1 year RESTful API design/integration – 3 years Message queuing technologies such as ActiveMQ / Azure Service Bus – 3 years Cross-functional software/data product development – 5 years