Data Engineer - Senior (REMOTE) JP989
Edmonton, ABPathlion
Candidates need hands-on experience with Azure data services, Python and SQL, and building data pipelines and models. Strong knowledge of data governance, privacy standards and AI-assisted development tools is expected.
Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure API Management, ServiceNow
Data Engineer - Senior (REMOTE) JP991
Edmonton, ABPathlion
Candidates need senior data engineering experience on Microsoft Azure, strong Python and SQL, and experience with pipelines, governance and privacy standards. Familiarity with ServiceNow, geospatial data and AI-assisted development tools is an asset.
Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure API Management, ServiceNow
Data Engineer - Senior (REMOTE) JP992
Edmonton, ABPathlion
Pathlion needs candidates with hands-on Talend development experience, strong SQL skills on relational databases, and experience designing ETL/ELT processes. Production support experience with job scheduling, monitoring and incident resolution is required.
Talend Studio, Talend Data Fabric, Oracle, SQL Server, PostgreSQL, Azure API Management
Data Engineer - Senior (REMOTE) JP982
Edmonton, ABPathlion
Candidates need strong data engineering experience with ETL/ELT, cloud platforms and dimensional modelling, plus analytical skills in Python, R, DAX and Power BI. Agile delivery experience is expected.
Azure Data Factory, Databricks, Microsoft Fabric, SSIS, Power BI, Python
Systems Analyst - Senior (HYBRID) JP223
Toronto, ONPathlion
Candidates need strong Power BI development, Excel, data modelling and analytical skills. They must be self-starters who can turn ambiguous reporting challenges into practical, scalable, decision-ready solutions.
Power BI, Excel, SQL, ServiceNow, EcoSys, Jira
Scrum Master (REMOTE) JP1008
Edmonton, ABPathlion
Pathlion needs candidates with agile Scrum Master experience who can coach teams and communicate technical change clearly. They should show daily use of generative AI, process automation literacy, and the ability to judge AI output for risk and privacy.