Data Engineer – Senior
Job Location:
Monthly Salary:
Experience Required:
Posted:
Application Deadline:
Vacancies:
Job Summary
- Hours: 36.25 hours/week
- Daily: 7.25 hours/day
- Schedule: MondayFriday 8:15 AM4:30 PM Alberta Time
- Work Mode: Primarily remote
- Location Requirement: Must work from within Canada
- Onsite: Edmonton meetings approximately 34 times per fiscal month or more as required
- Extension: Up to 6 months
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.
- 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.
| 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 |
- Data requirements analysis / transformation / cleansing / wrangling 6 years
- Microsoft SQL Server 6 years
- Microsoft Fabric 2 years
- Government of Alberta Cloud environment 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
Required Skills:
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 environment 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
Required Education:
EducationBachelors degree in Computer Science or a related field. Equivalencies will be considered.
