Data Engineer – Intermediate

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PATH

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1977

🔥 Funding within the last year

💰 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.