Senior Data Engineer

🚀 We’re Hiring: Azure Data Engineer ⏰ Work Schedule: US Time Zone 🏥 Industry: Healthcare 💼 Employment Type: Full-time | ONSITE About Us We are on the lookout for a skilled Azure Data Engineer to join our dynamic team for a healthcare industry client. This role focuses on building secure, scalable, and compliant data solutions that support healthcare analytics and reporting. The ideal candidate brings strong hands-on experience with Azure Databricks, Microsoft Purview, and Microsoft Fabric, along with a deep understanding of data engineering best practices and governance—critical in regulated healthcare environments. What You’ll Do Design, develop, and implement scalable data processing pipelines using Azure Databricks and Spark Write efficient and optimized Python (PySpark) and SQL code for large-scale data processing Architect and maintain data lakehouse solutions, leveraging Microsoft Fabric for analytics and reporting Implement data governance, cataloging, lineage, and compliance using Microsoft Purview Build and optimize ETL workflows for ingestion, transformation, and integration across Azure services Ensure data quality, security, privacy, and integrity, aligned with healthcare data standards Collaborate with cross-functional teams and stakeholders operating in the US time zone Maintain version control using Git and follow CI/CD best practices for data engineering Produce clear and comprehensive technical documentation (requirements, design, testing, and implementation) What We’re Looking For 5+ years of hands-on experience with Azure Databricks and Spark in development and production environments Proven experience with Microsoft Purview for data governance, cataloging, and compliance Working knowledge of Microsoft Fabric for modern analytics and integration Strong proficiency in Python (PySpark) and SQL Solid understanding of data lake architecture, ETL processes, and data quality management Experience with Azure data services such as Azure Data Lake, Synapse Analytics, and Data Factory Ability to optimize performance and scalability for large-scale data processing Excellent technical writing and communication skills Experience working in regulated environments (healthcare experience is a strong plus Benefits & Perks 20 PTO credits upon regularization Comprehensive HMO coverage up to USD 500,000 Government-mandated benefits (SSS, PhilHealth, Pag-IBIG) Opportunity to work on impactful projects for a leading healthcare client Collaborative and growth-oriented work environment