Data Engineer – Intermediate

Job not on LinkedIn

🕒 July 29

🇨🇦 Canada – Remote

⏰ Full Time

🟢 Junior

🚰 Data Engineer

👻 Ghost score 21%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Pathlion

WebsiteAll Job Openings

- employees

🏛️ Government

💼 Consulting

🏢 Enterprise

Government • Consulting • Enterprise

Pathlion is a professional services firm focused on public-sector digital transformation. It delivers end-to-end project management for ServiceNow implementations and financial-system projects for Ontario government clients, provides senior organizational change management for Alberta consumer-licensing modernization (including AI enablement and adoption), and offers DevOps and automation services for Alberta government digital services. Pathlion’s work centers on program delivery, stakeholder engagement, compliance with government standards and procurement rules, training and adoption, and building CI/CD, monitoring, and production operations for public-sector IT systems.

📋 Description

• Design and implement scalable, secure, and high-performance data architecture on Microsoft Azure • Lead the development of data ingestion, transformation, and integration pipelines • Work with the Data Architect to manage data lakes and structured storage solutions • Integrate data from diverse source systems using APIs, connectors, and custom scripts • Develop and maintain robust data models and semantic layers • Build and optimize data workflows using Python and SQL • Design secure data services and APIs • Monitor and troubleshoot data pipelines and integrations • Utilize AI and automation tools to streamline workflows

🎯 Requirements

• Experience as a Data Engineer or similar role • Proficiency in Azure Data Factory, Azure Databricks, and Azure Synapse Analytics • Strong knowledge of Python and SQL • Familiarity with data governance practices • Understanding of cloud-native and hybrid data architecture • Ability to monitor and troubleshoot data pipelines • Knowledge of compliance standards (e.g., FOIP, GDPR) and role-based access controls • Familiarity with APIs and data integration techniques.

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