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