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Senior Data Engineer

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🚀 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


Skills

What Senior Data Engineering jobs ask for — and how much of it you have →
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See also

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