Senior Data Engineer - Azure Data Pipelines (Remote)

SereneAid; Edmonton; Hybrid; CAD 90,000 - 150,000; Full time

Job summary

The Government of Alberta – Technology and Innovation is seeking a Senior Data Engineer in Edmonton, Alberta to support the DRAS modernization initiative. You will design, build and operate reliable data pipelines and data products, integrating data into the Data Management Platform and ensuring governance and high data quality for analytics-ready datasets.

Work mode is primarily remote with onsite meetings several times per month.

Qualifications

• Bachelor-level education in Computer Science or related field.
• 3+ years delivering data solutions for analytics-ready datasets.
• 4+ years with Azure Storage, SQL, Synapse, networking and secure authentication.
• 3+ years Python/PySpark & SQL for Data Engineering.
• 5+ years Azure Databricks & Delta Lake.
• 1+ year AI for code generation, data analysis and automation.

Responsibilities

• Design scalable and secure Azure data architectures.
• Develop data pipelines using Azure Data Factory, Databricks and Synapse.
• Manage Azure Data Lake Storage Gen2.
• Integrate data from systems like ServiceNow and geospatial platforms.
• Build data models, semantic layers, data marts and analytics-ready datasets.
• Develop ETL/ELT workflows with Python, PySpark and SQL.
• Work with Azure API Management and REST APIs.
• Implement data governance, metadata, classification and lineage.
• Apply RBAC, encryption and data masking.

Skills

Python/PySpark

SQL

Data engineering

Azure Data Factory

Azure Databricks

Azure Synapse

Data governance

Git/GitHub

Education

Computer Science or related post-secondary education

Tools

Azure Data Factory

Azure Databricks

Azure Synapse

Azure Data Lake Storage Gen2

ServiceNow

Job description

The Government of Alberta – Technology and Innovation is seeking a Senior Data Engineer in Edmonton, Alberta to support the DRAS modernization initiative. You will design, build and operate reliable data pipelines and data products, integrating data into the Data Management Platform and ensuring governance and high data quality for analytics-ready datasets.

Work mode is primarily remote with onsite meetings several times per month.