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 ServiceNow and geospatial platforms
Build data models, semantic layers, data marts and analytics-ready datasets
Develop ETL/ELT workflows using Python, PySpark 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/PySpark & 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

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