Data Engineer

Join Blue Ridge Care as a Data Engineer

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, the Program of All-Inclusive Care for the Elderly (PACE), community thrift shops, and grief support. Our goal is simple: to reimagine how communities experience aging, serious illness, and end-of-life care through compassionate, personalized, and high-quality services.

We are seeking a highly skilled Data Engineer to join our team to enhance our developing internal data platform. The data engineer is a key member of the Data and Analytics team at Blue Ridge Care with responsibility for designing, developing, and maintaining the infrastructure and systems required for data storage, processing, and analysis. They will play a crucial role in the delivery of data and reporting to leaders across the organization to support data-driven decision-making.

They will collaborate closely with the head of IT and Security, forming a dotted-line connection for project alignment and task execution.

Hybrid Work:
This role is primarily remote; however, periodic travel to the office will be required based on business needs.

• Designs and develops data pipelines that extract data from various sources, transforms it into the desired format, and loads it into the appropriate data storage systems using CI/CD tools and practices.

• Integrates data from different sources, including databases, data warehouses, APIs, and external systems.

• Creates robust data models and architectures to support analytics initiatives.

• Collaborates with business stakeholders to understand their analytics needs and delivers comprehensive reports, dashboards, and models.

• Collaborates with data analysts to optimize models and algorithms for data quality, security, and governance.

• Ensures data consistency and integrity during the integration process, performing data validation and cleaning as needed.

• Ensures all data engineering activities comply with HIPAA and other relevant healthcare data privacy regulations.

• Monitors and tunes data systems, identifies and resolves performance bottlenecks, and implements caching and indexing strategies to enhance query performance.

• Implements data quality checks and validations within data pipelines to ensure the accuracy, and completeness of data.

• Establishes the governance of data and algorithms used for analysis, analytical applications, and automated decision making.

• Fosters the creation of a data-driven culture, related competencies, and data literacy across the enterprise.

• Defines delivery models, methods and practices for creation of data products to ensure consistent application and use of data and analytics solutions.

• Assists in the development, tracking, and reporting of organizational key performance indicators (KPIs) and additional data to support strategic planning and the annual planning and budgeting process.

• Deliver on agreed‑upon impact metrics, including pipeline reliability, data quality improvements, and stakeholder satisfaction.

• Pursues ongoing learning opportunities and certifications (e.g. AWS Certified Data Analytics, Azure Data Engineer Associate).

• Education:
  
  A bachelor’s or master’s degree in computer science, data science, software engineering, information systems, or related quantitative field.

• Experience:
  
  At least two years of work experience in data management disciplines, including data integration, modeling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks.

• Proven project experience developing and maintaining data warehouses in big data solutions.

• Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML, and BI tools.

• Strong ability in programming languages such as Python, Java, and C/C++ with experience writing production code.

• Ability in data science languages/tools such as SQL, R, SAS, or Excel.

• Proficiency in the design and implementation of modern data…