Data Engineer; Azure Focus

About Blue Ridge Care

At Blue Ridge Care, we deliver extraordinary care to improve life’s journey. As a mission-driven, not-for-profit healthcare system, we provide integrated services in hospice, serious illness care, Program of All-Inclusive Care for the Elderly (PACE), community thrift shops, and grief support—meeting patients and families with the compassion, expertise, and respect they deserve. Our goal is simple: to reimagine how communities experience aging, serious illness, and end-of-life care through personalized, high-quality services.

Join Blue Ridge Care and become a Future Maker, where your expertise helps build the data systems that empower our teams to deliver meaningful, high-quality care. Behind every great decision is great data—and your work will directly support the care we provide to our community.

We’re looking for a dedicated Data Engineer (Azure Focus) to support the development and long-term sustainability of our enterprise data and analytics platform. This role is essential in helping Blue Ridge Care build a reliable, scalable Azure-based data environment that supports reporting, analytics, and informed decision-making across the organization.

You will work closely with leadership and our external implementation partner to build and support data pipelines, integrate systems, validate data quality, and gradually assume internal ownership of the platform. This is an ideal opportunity for someone eager to grow their technical skills and play a key role in shaping the future of our data environment.

• Support the buildout and stabilization of Blue Ridge Care’s Azure-based data platform
• Assist in developing, testing, and maintaining scalable data pipelines
• Help expand the platform to meet growing reporting and analytics needs
• Learn system architecture to support long-term internal ownership

• Integrate data from various systems including databases, files, and APIs
• Apply ETL/ELT concepts to transform data into standardized, usable formats
• Support enhancements to data models and reporting structures
• Assist with new data pipeline development and system integrations

• Perform data validation and quality checks to ensure reliability and accuracy
• Identify and troubleshoot data issues across systems and pipelines
• Support the development of consistent monitoring and quality practices

• Work with IT, finance, operational leaders, analysts, and external partners
• Translate reporting and analytics needs into technical solutions
• Contribute to documentation including workflows, architecture, and processes
• Support a scalable, sustainable data environment aligned with organizational growth

• Bachelor’s degree in computer science, data analytics, information systems, or related field preferred (or equivalent experience)
• 1–2 years of experience in data engineering, BI, analytics engineering, or similar role
• Foundational experience with Microsoft Azure and strong desire to grow in Azure technologies
• Working knowledge of SQL and data pipeline concepts (ETL/ELT)
• Experience supporting or troubleshooting data processes or pipelines
• Understanding of relational databases, structured data, and validation techniques
• Strong problem-solving, documentation, and communication skills
• Ability to collaborate with both technical and non-technical stakeholders

• Microsoft Azure fundamentals
• SQL proficiency
• Azure Data Factory and/or Databricks
• Data modeling (fact/dimension, star schema)
• Data integration and transformation
• Basic scripting (Python or similar)
• Data quality validation and troubleshooting
• Documentation development (ERDs, dataflows, process documentation)

• Comfortable contributing technically while continuing to learn and grow
• Eager to develop expertise in Azure-based data environments
• Motivated to take on increasing responsibility and platform ownership over time
• Strong communicator who can work across teams
• Passionate about building sustainable, scalable solutions that support organizational success