Data Engineer – Intermediate

Job not on LinkedIn

🕒 July 29

🇨🇦 Canada – Remote

⏰ Full Time

🟢 Junior

🚰 Data Engineer

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.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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PATH

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1977

💰 Grant - PATH on 2025-07

PATH is a global nonprofit dedicated to health equity. With nearly 50 years of experience forging multisector partnerships, and with expertise in science, economics, technology, advocacy, and dozens of other specialties, PATH develops and scales up innovative solutions to the world’s most pressing health challenges.

📋 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.