Azure Data Engineer

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Azure Data Engineer

Permanent WFH set up

Position Summary

The Azure Data Engineer is a critical technical role within Nordic's growing Data Services team, responsible for designing, developing, and maintaining enterprise-grade data pipelines and analytics solutions using the Microsoft Azure platform. This role supports strategic data initiatives that empower healthcare organizations to make informed decisions, optimize operations, and improve patient outcomes through cloud-based data architecture.

As a key member of the data engineering team, the Azure Data Engineer brings deep technical skills in data integration, transformation, and orchestration using tools such as Azure Data Factory (ADF), Azure Databricks, or MS SQL Server Integration Services (SSIS). This individual collaborates closely with cross-functional teams to deliver high-quality, scalable data solutions that align with client goals and enable healthcare transformation through digital innovation.

This role also reflects Nordic's broader mission to elevate healthcare by putting people first—clients, colleagues, and patients. The candidate should be proactive, an exceptional communicator, client-focused, and passionate about building robust solutions that address complex data challenges in healthcare.

The ideal candidate has hands-on experience in data engineering, a solid understanding of healthcare data domains, and a strong sense of ownership and accountability. This is a permanent work-from-home (WFH) position operating on the night shift, with occasional onsite reporting to our Makati office as needed.

Key Responsibilities

Client Delivery & Technical Execution

• Design, develop, and maintain scalable ETL pipelines using Azure Data Factory (ADF), Azure Databricks, or MS SQL Server Integration Services supporting complex healthcare analytics and reporting needs.
• Build data workflows that support lakehouse medallion architecture, enabling structured, semi-structured, and unstructured data ingestion and processing.
• Translate data requirements from clinical, operational, and financial stakeholders into performant, maintainable data models and datasets.
• Ensure data accuracy, integrity, and security while aligning with regulatory and compliance standards (e.g., HIPAA).
• Write clean, efficient, and reusable code in SQL and Python for data transformation and automation tasks.
• Collaborate with data architects, analysts, and business stakeholders to implement solutions that support strategic decision-making.

Innovation & Best Practices

• Promote use of DevOps practices in data engineering through Azure DevOps, including CI/CD pipelines, version control, and release management.
• Apply performance tuning techniques to optimize data processing and minimize latency.
• Participate in code reviews and data quality validation efforts to maintain high engineering standards.
• Contribute to reusable frameworks, data templates, and best practice guidelines within the data engineering team.

Team Collaboration & Growth

• Work in close partnership with Nordic's broader Data & Analytics practice, sharing knowledge and contributing to collective success.
• Mentor junior team members on Azure technologies, ETL practices, and healthcare data concepts.
• Participate in internal improvement initiatives, training sessions, and knowledge-sharing forums.
• Represent Nordic's mission and values in all client and internal interactions, emphasizing service excellence, collaboration, and continuous improvement.

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field.
• Minimum 5+ years of experience in data engineering and ETL development.
• Hands-on expertise with:
• Azure Data Factory (ADF), Azure Databricks, or MS-SQL Server Integration Services (SSIS)
• Azure DevOps
• SQL and Python
• Experience with lakehouse medallion architecture and modern cloud data platforms.
• Strong understanding of data warehousing, data lakes, and healthcare-specific data flows.
• Experience developing and deploying scalable data pipelines in enterprise environments.
• Exceptional communication and presentation skills with all levels of organizations (including leadership/executive levels).

Preferred Qualifications

• Background in healthcare data domains such as:
• Population health analytics
• Roster management
• Payor/claims data
• Familiarity with other Azure services (e.g., Azure Synapse, Azure Data Lake Storage).
• Exposure to Agile methodologies and sprint-based delivery.
• Knowledge of healthcare data compliance and privacy regulations (HIPAA, HITECH).
• Experience working with cross-functional, remote, or global delivery teams.

Additional Details

• Work Setup: Permanent Work-from-Home (WFH)
• Shift: Night Shift (aligned with U.S. client hours)
• Office Location: 15/F, One Ayala East Tower, EDSA corner Ayala Avenue, San Lorenzo, Makati City, Philippines
  
  (Onsite reporting may be required occasionally)
• May support multiple projects or clients concurrently in a fast-paced consulting environment.
• Some off-hours work may be required for deployment windows or production support.

Nordic is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital or veteran status, or any other protected status under applicable federal, state, or local laws. We encourage individuals of all backgrounds to apply, including women, minorities, individuals with disabilities, and veterans.