Senior Data Engineer – 100% Remote

Job Description

Senior Data Engineer – Remote

Join a major Alberta public sector organization that is expanding its team with 10 openings to support high-profile data and modernization initiatives. Work alongside multidisciplinary teams to develop modern solutions, leverage emerging technologies, and contribute to projects that deliver value on a provincial scale

What is in it for you:

• Salaried: $80-100 per hour.

• Incorporated Business Rate: $101-117 per hour.

• 12-month contract with a maximum extension term of 24 months.

• Full-time schedule of 36.25 hours per week.

• Occasional travel within Alberta may be required to support field research and user interviews.

• Remote work arrangement. All work must be performed within Canada.

Responsibilities:

• Design, build, and maintain scalable data pipelines across on-premises and cloud platforms, including Azure, Databricks, Microsoft Fabric, GCP, and AWS.

• Develop, optimize, and maintain data models, including dimensional models such as star and snowflake schemas.

• Integrate data from relational databases, NoSQL platforms, APIs, and files using data integration techniques, including intelligent data mapping, schema discovery, metadata enrichment, and automated data quality validation.

• Enhance ETL/ELT processes through optimization, automation, and performance tuning.

• Develop and operate end-to-end ETL/ELT workflows using tools such as SSIS, Azure/Fabric Data Factory, Dataflows, and Notebooks.

• Implement data validation, error handling, logging, monitoring, and scheduling processes.

• Automate data pipeline deployment and operations through CI/CD practices, automated testing, release management, and monitoring.

• Support enterprise data platform management and governance, including data lakes, data warehouses, security controls, and access management.

• Collaborate with architects, developers, and stakeholders to translate requirements into technical solutions.

• Prepare curated data marts and fact and dimension tables to support analytics.

• Analyze datasets to identify trends, patterns, and anomalies.

• Apply statistical methods, DAX, Python, and R to generate business insights.

• Develop interactive Power BI dashboards and reports, including calculated columns and measures.

• Build predictive and descriptive models using statistical, Python, or R-based machine learning methods.

• Present findings to non-technical audiences and translate complex data into actionable insights.

• Deliver analytics solutions within an Agile environment.

• Support analytics adoption and self-service capabilities.

• Provide data-driven analysis, visualizations, and AI-enabled insights to support priorities and strategic initiatives.

What you will need to succeed:

Required qualifications

• Bachelor degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field.

• 5 years of experience as a Data Engineer and/or Data Analyst.

• 5 years of experience in Python, including PySpark, and SQL.

• 4 years of experience in Business Intelligence and Executive Reporting, including executive dashboards.

• 4 years of experience with Cloud or Hybrid Data Platforms and cloud modernization initiatives.

• 4 years of experience in Data Warehouse and Lakehouse Design.

• 4 years of experience with ETL processes and tools.

• 2 years of experience in Data Migration and Modernization.

Preferred qualifications

• 1 year of experience with AI-Assisted Development Tools and Practices.

• 2 years of experience with DevOps, CI/CD, and Infrastructure as Code.

• 1 year of experience with modern data technologies such as Microsoft Fabric.

• 2 years of experience supporting enterprise-scale public sector environments.

Three (3) professional references for similar work performed must be included with the resume.

Why Recruit Action?

Recruit Action (agency permit: AP-2504511) provides recruitment services through quality support and a personalized approach. As part of the screening process, some applications may be reviewed using artificial intelligence tools. Only candidates who meet the hiring criteria will be contacted.

Requirements
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