Data Engineer (10)
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Our client requires ten (10) Data Engineer’s to support the delivery of data solutions, including data pipelines, integration and migration capabilities, data models, analytics, reporting, and data governance practices. By combining technical expertise with analytical insight, the Data Engineer’s will enable the client to improve data quality and accessibility, strengthen self-service analytics, and make informed decisions that support the delivery of modern digital services across the organization.
Work is remote within Canada.
Edmonton, Alberta (Remote within Canada)
Mandatory Requirements
- Bachelor degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, Data Science, or a related field.
- 4 years Business Intelligence and Executive Reporting: Built executive dashboards, KPI reporting, self-service BI solutions and business performance reporting.
- 4 years Cloud or Hybrid Data Platforms: Experience with Cloud modernization, or hybrid/cloud data platform implementations.
- 2 years Data Migration and Modernization: Plan, execute, validate, and support data migrations across on-premises, cloud, and cross-database environments.
- 4 years Data Warehouse and Lakehouse Design: Enterprise data warehouse or lakehouse projects using Star/Snowflake schemas, fact/dimension modeling.
- 5 years’ experience as a Data Engineer and/or Data Analyst.
- 5 years’ experience in Python (including PySpark) and SQL, applied to developing, orchestrating, and optimizing enterprise-grade ETL/ELT workflows in a large-scale cloud environment.
- 4 years knowledge of ETL processes and tools, with hands-on experience designing and implementing data pipelines for transforming and loading data from multiple sources into data warehouses.
Desirable Requirements
- 1 year experience in AI-Assisted Development Tools and Practices: Leverage AI-assisted development tools to improve productivity, code quality, documentation, testing, and data engineering workflows while applying appropriate review and quality controls.
- 2 years’ experience in DevOps, CI/CD, and Infrastructure as Code: Designing, implementing, or maintaining CI/CD pipelines and Infrastructure as Code practices to support automated deployment, configuration, and management of cloud-based data platforms and services.
- 1 year modern data technology: Experience in modern data technologies such as Microsoft Fabric, Databricks, Spark, Delta Lake, or similar lakehouse and big data platforms.
- Resource must have 2 years’ experience supporting enterprise-scale for public service applications in public sector, or mixed delivery environments.
Job Posting ID: 57001
Location: Edmonton, Alberta (Remote within Canada)
Estimated Starting Date: Sep 14, 2026
Estimated End Date: till Sep 30, 2027 + 2 pos. 1-year extensions
Posting Closing Date: August 17, 2026
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