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.
Pay: $80.00-$117.00 per hour
Application question(s):
- This role requires you to have your own computer equipment and home office setup. Are you comfortable with this requirement?
- This position is 100% remote; however, occasional attendance at the Edmonton office may be required for meetings. Are you comfortable with this requirement?
Experience:
- Business Intelligence and Executive Reporting: 4 years (required)
- Cloud or Hybrid Data Platforms: 4 years (required)
- Data Migration and Modernization: 2 years (required)
- Data Warehouse and Lakehouse Design: 4 years (required)
- Experience as a Data Engineer and/or Data Analyst: 5 years (required)
- Python (including PySpark) and SQL: 5 years (required)
- ETL processes and tools: 4 years (required)
- AI-Assisted Development Tools and Practices: 1 year (preferred)
- DevOps, CI/CD, and Infrastructure as Code: 2 years (preferred)
- Modern data technologies such as Microsoft: 1 year (preferred)
- Supporting enterprise-scale for public: 2 years (preferred)
Work Location: Hybrid remote in Edmonton, AB T6H 5T6
