Data Engineer –

- Senior

- Client: Government of Alberta –
- Technology and Innovation

Project: Digital Regulatory Assurance System (DRAS)

Location: Edmonton, Alberta – 9942 108 ST, Edmonton, AB T5K 2J5

- Contract &

- Work Schedule

- Hours: 36.25 hours/week
- Daily: 7.25 hours/day
- Schedule: Monday–Friday, 8:15 AM–4:30 PM Alberta Time

- Work Mode: Primarily remote
- Location Requirement: Must work from within Canada
- Onsite: Edmonton meetings approximately 3–4 times per fiscal month or more, as required

- Extension: Up to 6 months

- Role Overview
- The Senior Data Engineer will primarily support the DRAS program, designing and operating reliable data pipelines and data products. The role focuses on data ingestion, integration, transformation, governance, quality, and delivery of trusted analytics-ready datasets for regulatory, compliance, reporting, and future AI use cases.

- Key Responsibilities
- Design scalable, secure Microsoft Azure data architectures
- Build data ingestion and transformation pipelines using Azure Data Factory, Azure Databricks and Azure Synapse

- Manage Azure Data Lake Storage Gen2
- Integrate data from ServiceNow, geospatial systems and other source systems
- Develop data models and semantic layers
- Build and optimize ETL/ELT workflows using Python, PySpark and SQL





- Develop secure APIs and data services using Azure API Management
- Implement data governance, metadata, classification and lineage
- Apply security controls including RBAC, encryption and data masking

- Monitor and troubleshoot data pipelines and integrations
- Use AI and automation for pipeline development, testing, monitoring and documentation
- Curate standardized, high-quality datasets for advanced analytics and AI.

Requirements
- Must-Have Requirements
- Skill / Qualification

Required Experience

Analytics-ready data solutions, 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 Data Engineering

5+ years

Azure Databricks &

- Delta Lake

3+ years

AI for code generation, data analysis & automation

1+ year

- - Nice-to-Have
- Data requirements analysis / transformation / cleansing / wrangling – 6 years
- Microsoft SQL Server – 6 years
- Microsoft Fabric – 2 years
- Government of Alberta Cloud workplace – 1 year
- RESTful API design/integration – 3 years
- ActiveMQ / Azure Service Bus / Message Queueing – 3 years
- Cross-functional software and data product development – 5 years

📌 Data Engineer – Senior (Edmonton)
🏢 Joblinxsapp
📍 Edmonton